Refereed Journal Publications


Book:

A. Ozcan, “Non-destructive Optical Characterization Tools”, Verlag DM Publishing House, 2008

Publisher: VDM Verlag Dr. Muller.

Language: English

ISBN-10: 3639104498

ISBN-13: 978-3639104493

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NON-DESTRUCTIVE OPTICAL CHARACTERIZATION TOOLS

Journal Papers:

:D. Zhang, Y. Li, J. Geng, H. Min Kim, M. Ma, S. Wang, I. Kim, T.J. Wijaya, N. Higashitarumizu, I.K.M.R. Rahman, D. Urmossy, J. Bullock, A. Ozcan, Ali Javey, “Spectral kernel machines with electrically tunable photodetectors,” Science (2025)

DOI: 10.1126/science.ady6571

Class-Spec-NN

:M.S.S. Rahman, Y. Li, X. Yang, S. Chen, A. Ozcan, “Massively parallel and universal approximation of nonlinear functions using diffractive processors,” eLight (2025)

DOI: 10.1186/s43593-025-00113-w

Class-Spec-NN

: G. Volpe, et al. “Roadmap on deep learning for microscopy,” Journal of Physics: Photonics (IOP) (2025)

DOI: 10.1088/2515-7647/ae0fd1

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: A. Momeni, et al. “Training of physical neural networks” Nature (2025)

DOI: 10.1038/s41586-025-09384-2

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: S. Chen, Y. Li, Y. Wang, H. Chen, A. Ozcan, “Optical generative models,” Nature (2025)

DOI: 10.1038/s41586-025-09446-5

Class-Spec-NN

: C-Y. Shen, P. Batoni, X. Yang, J. Li, L. Kun, J. Stack, J. Gardner, K. Welch, and A. Ozcan, “Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors,” Light: Science & Applications (2025)

DOI: 10.1038/s41377-025-01971-2

Class-Spec-NN

: M.J. Fanous, C.M. Seybold, H. Chen, N. Pillar, A. Ozcan, “BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images,” npj Digital Medicine (2025)

DOI: 10.1038/s41746-025-01882-x

Class-Spec-NN

: X. Yang, M.J. Fanous, H. Chen, R. Lee, P. Casteleiro Costa, Y. Li, L. Huang, Y. Zhang, A. Ozcan, “Snapshot multi-spectral imaging through defocusing and a Fourier imager network,” Advanced Photonics Nexus (2025)

DOI: 10.1117/1.APN.4.5.056002

Class-Spec-NN

: Y. Zhang, L. Huang, N. Pillar, Y. Li, Y. Li, L.G. Migas, R. Van de Plas, J.M. Spraggins, and A. Ozcan, “Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry,” Science Advances (AAAS) (2025)

DOI: 10.1126/sciadv.adv0741

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: M.S.S. Rahman, T. Gan, M. Jarrahi, and A. Ozcan, “Programming of refractive functions,” Nature Communications (2025)

DOI: 10.1038/s41467-025-62230-x

Class-Spec-NN

: Y. Li, N. Pillar, T. Liu, G. Ma, Y. Qi, K. de Haan, Y. Zhang, X. Yang, A.J. Correa, G. Xiao, K-Y. Jen, K.A. Iczkowski, Y. Wu, W.Dean Wallace, and A. Ozcan, “Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining” BME Frontiers (AAAS) (2025)

DOI: 10.34133/bmef.0151

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: Y. Zhou, A. Nakagawa, M. Sonoshita, G.J. Tearney, A. Ozcan, K. Goda, “Emergent Photonics for Cardiovascular Health,” Nature Photonics (2025)

DOI: 10.1038/s41566-025-01714-0

Class-Spec-NN

: L. Huang, Y. Li, N. Pillar, T.K. Haran, W.D. Wallace, A. Ozcan, “A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology,” Nature Biomedical Engineering (2025)

DOI: 10.1038/s41551-025-01421-9

Class-Spec-NN

: M.S.S. Rahman, and A. Ozcan, “Universal point spread function engineering for 3D optical information processing,” Light: Science & Applications (2025)

DOI: 10.1038/s41377-025-01887-x

Class-Spec-NN

: Y. Wang, Y. Li, T. Gan, K. Liao, M. Jarrahi, A. Ozcan, “Optimizing Structured Surfaces for Diffractive Waveguides,” Nature Communications (2025)

DOI: 10.1038/s41467-025-60626-3

Class-Spec-NN

: Y. Yao, M. Niu, H. Chen, Q. Yu, Q. Wu, Y. Li, Y. Zhang, A. Ozcan, M. Jerrett, Y. Zhu, “Fine particulate matter emissions from electric vehicle fast charging stations,” Environment International (2025)

DOI: 10.1016/j.envint.2025.109581

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: Y. Zhang, L. Huang, N. Pillar, Y. Li, H. Chen, A. Ozcan, “Pixel super-resolved virtual staining of label-free tissue using diffusion models,” Nature Communications (2025)

DOI: 10.1038/s41467-025-60387-z

Class-Spec-NN

: J. Jeon, H. Choi, G-R. Han, R. Ghosh, B. Palanisamy, D. Di Carlo, A. Ozcan, S. Park, “Paper-based vertical flow assays for in vitro diagnostics and environmental monitoring,” ACS Sensors (2025)

DOI: 10.1021/acssensors.5c00668

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: Y. Li, H. Li, W. Chen, K. O’Riordan, N. Mani, Y. Qi, T. Liu, S. Mani, and A. Ozcan, “Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image,” Gut Microbes (2025)

DOI: 10.1080/19490976.2025.2505115

Class-Spec-NN

: G-R. Han, A. Goncharov, M. Eryilmaz, S. Ye, B. Palanisamy, R. Ghosh, F. Lisi, E. Rogers, D. Guzman, D. Yigci, S. Tasoglu, D. Di Carlo, K. Goda, R.A. McKendry and A. Ozcan, “Machine learning in point-of-care testing: innovations, challenges, and opportunities,” Nature Communications (2025)

DOI: 10.1038/s41467-025-58527-6

Class-Spec-NN

: Y. Li, T. Gan, J. Li, M. Jarrahi and A. Ozcan, “Unidirectional focusing of light using structured diffractive surfaces,” Advanced Optical Materials (2025)

DOI: 10.1002/adom.202403371

Class-Spec-NN

: G. Han, A. Goncharov, M. Eryilmaz, S. Ye, H. Joung, R. Ghosh, E. Ngo, A. Tomoeda, Y. Lee, K. Ngo, E. Melton, O.B. Garner, D. Di Carlo and A. Ozcan, “Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing,” Small (2025)

DOI: 10.1002/smll.202411585

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: Ç. Işıl, H. Ceylan Koydemir, M. Eryilmaz, K. de Haan, N. Pillar, K. Mentesoglu, A. Firat Unal, Y. Rivenson, S. Chandrasekaran, O.B. Garner and A. Ozcan, “Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning,” Science Advances (AAAS) (2025)

DOI: 10.1126/sciadv.ads2757

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: R. Pradhan, D. Chimene, B.S. Ko, A. Goncharov, A. Ozcan, M.J. McShane, “Insertable Biomaterial-Based Multianalyte Barcode Sensor toward Continuous Monitoring of Glucose and Oxygen,” ACS Sensors (2024)

DOI: 10.1021/acssensors.4c01926

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: M.S.S. Rahman, and A. Ozcan, “Physics and Artificial Intelligence: Illuminating the Future of Optics and Photonics,” Advanced Photonics (2024)

DOI: 10.1117/1.AP.6.5.050500

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: G. Ma, C-Y. Shen, J. Li, L. Huang, Ç. Işıl, F.O. Ardic,X. Yang, Y. Li, Y. Wang, M.S.S. Rahman, and A. Ozcan, “Unidirectional imaging with partially coherent light,” Advanced Photonics Nexus (2024)

DOI: 10.1117/1.APN.3.6.066008

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: J.D. FitzGerald, C. Barrios, T. Liu, A. Rosenthal, G.M. McCarthy, L. Chen, B. Bai, G. Ma, A. Ozcan, “A novel polarized light microscope for examination of birefringent crystals in synovial fluid,” Gout, Urate, and Crystal Deposition Disease (2024)

DOI: 10.3390/gucdd2040022

Class-Spec-NN

: G-R. Han, A. Goncharov, M. Eryilmaz, H-A. Joung, R. Ghosh, G. Yim, N. Chang, M. Kim, K. Ngo, M. Veszpremi, K. Liao, O. Garner, D. Di Carlo, A. Ozcan, “Deep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification,” ACS Nano (2024)

DOI: 10.1021/acsnano.4c05153

Class-Spec-NN

: Y. Ma, L. Huang, C. Sen, S. Burri, C. Bruschini, X. Yang, R.B. Cameron, G.A. Fishbein, B.N. Gomperts, A. Ozcan, E. Charbon, L. Gao, “Light-field tomographic fluorescence lifetime imaging microscopy,” Proceedings of the National Academy of Sciences (PNAS) (2024)

DOI: 10.1073/pnas.2402556121

Class-Spec-NN

: X. Yang, B. Bai, Y. Zhang, M. Aydin, Y. Li, S.Y. Selcuk, P.C. Costa, Z. Guo, G.A. Fishbein, K. Atlan, W. Dean Wallace, N. Pillar, A. Ozcan, “Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning,” Nature Communications (2024)

DOI: 10.1038/s41467-024-52263-z

Class-Spec-NN

: M. Fanous, P. Casteleiro Costa, C. Isil, L. Huang, A. Ozcan, “Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data,” Light: Science & Applications (2024)

DOI: 10.1038/s41377-024-01544-9

Class-Spec-NN

: J. Rosen, et al., “Roadmap on computational methods in optical imaging and holography,” Applied Physics B (2024)

DOI: 10.1007/s00340-024-08280-3

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: H-J. Jang, H-A. Joung, A. Goncharov, A.G. Kanegusuku, C.W. Chan, K-T. Jerry Yeo, W. Zhuang, A. Ozcan, J. Chen, “Deep Learning-based Kinetic Analysis in Paper-based Analytical Cartridges Integrated with Field-effect Transistors,” ACS Nano (2024)

DOI: 10.1021/acsnano.4c02897

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: R. Ghosh, H. Joung, A. Goncharov, B. Palanisamy, K. Ngo, K. Pejcinovic, N. Krockenberger, E. Horn, O. Garner, E. Ghazal, A. O’Kula, P. Arnaboldi, R. Dattwyler, A. Ozcan, D. Di Carlo, “Rapid single-tier serodiagnosis of Lyme disease,” Nature Communications (2024)

DOI: 10.1038/s41467-024-51067-5

Class-Spec-NN

: A. Goncharov, Z. Gorocs, R. Pradhan, B. Ko, A. Ajmal, A. Rodriguez, D. Baum, M. Veszpremi, X. Yang, M. Pindrys, T. Zheng, O. Wang, J.C. Ramella-Roman, M.J. McShane, A. Ozcan, “An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning,” ACS Nano (2024)

DOI: 10.1021/acsnano.4c06527

Class-Spec-NN

: M.S.S. Rahman, and A. Ozcan, “Integration of Programmable Diffraction with Digital Neural Networks,” ACS Photonics (2024)

DOI: 10.1021/acsphotonics.4c01099

Class-Spec-NN

: D. Yigci, M. Eryilmaz, A.K. Yetisen, S. Tasoglu, A. Ozcan, “Large Language Model-Based Chatbots in Higher Education,” Advanced Intelligent Systems (2024)

DOI: 10.1002/aisy.202400429

Class-Spec-NN

: B. Bai, X. Yang, T. Gan, J. Li, D. Mengu, M. Jarrahi, A. Ozcan, “Pyramid diffractive optical networks for unidirectional image magnification and demagnification,” Light: Science & Applications (2024)

DOI: 10.1038/s41377-024-01543-w

Class-Spec-NN

: C-Y. Shen, J. Li, Y. Li, T. Gan, L. Bai, M. Jarrahi, A. Ozcan, “Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor,” Advanced Photonics (2024)

DOI: 10.1117/1.AP.6.5.056003

Class-Spec-NN

: Y. Li, J. Li, A. Ozcan, “Nonlinear Encoding in Diffractive Information Processing Using Linear Optical Materials,” Light: Science & Applications (2024)

DOI: 10.1038/s41377-024-01529-8

Class-Spec-NN

: S.Y. Selcuk, X. Yang, B. Bai, Y. Zhang, Y. Li, M. Aydin, A. F. Unal, A. Gomatam, Z. Guo, D. M. Angus, G. Kolodney, K. Atlan, T. K. Haran, N. Pillar, and A. Ozcan, “Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling,” BME Frontiers (2024)

DOI: 10.34133/bmef.0048

Class-Spec-NN

: G. Ma, X. Yang, B. Bai, J. Li, Y. Li, T. Gan, C-Y. Shen, Y. Zhang, Y. Li, Ç. Işıl, M. Jarrahi, A. Ozcan, “Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network,” Laser & Photonics Reviews (2024)

DOI: 10.1002/lpor.202400238

Class-Spec-NN

: M. Eryilmaz, A. Goncharov, G. Han, H. Joung, Z.S. Ballard, R. Ghosh, Y. Zhang, D. Di Carlo, A. Ozcan, “A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning,” ACS Nano (2024)

DOI: 10.1021/acsnano.4c02434

Class-Spec-NN

: J. Hu, K. Liao, N.U. Dinc, C. Gigli, B. Bai, T. Gan, X. Li, H. Chen, X. Yang, Y. Li, Ç. Işıl, M.S.S. Rahman, J. Li, X. Hu, M. Jarrahi, D. Psaltis, A. Ozcan, “Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor,” eLight (2024)

DOI: 10.1186/s43593-024-00067-5

Class-Spec-NN

: B. Bai, R. Lee, Y. Li, T. Gan, Y. Wang, M. Jarrahi, A. Ozcan, “Information hiding cameras: optical concealment of object information into ordinary images,” Science Advances (2024)

DOI: 10.1126/sciadv.adn9420

Class-Spec-NN

: C-Y. Shen, J. Li, T. Gan,Y. Li, M. Jarrahi, A. Ozcan, “All-optical phase conjugation using diffractive wavefront processing,” Nature Communications (2024)

DOI: 10.1038/s41467-024-49304-y

Class-Spec-NN

: J. Li, Y. Li, T. Gan, C-Y. Shen, M. Jarrahi, A. Ozcan, “All-optical complex field imaging using diffractive processors,” Light: Science & Applications (2024)

DOI: 10.1038/s41377-024-01482-6

Class-Spec-NN

: D. Yigci, J. Bonventre, A. Ozcan, S. Tasoglu, “Repurposing Sewage and Toilet Systems: Environmental, Public Health, and Person-Centered Healthcare Applications,” Global Challenges (2024)

DOI: 10.1002/gch2.202300358

Class-Spec-NN

: N. Chaturvedi, A. Goncharov, S. Tripathy, A. Michelle T.S. Juan, S.B. Mabbott, A. Ozcan, F.S. Ligler, G.L. Coté, “Advances in point-of-care optical biosensing for underserved populations,” Trends in Analytical Chemistry (2024)

DOI: 10.1016/j.trac.2024.117731

Class-Spec-NN

: D. Zhang, D. Xu, Y. Li, Y. Luo, J. Hu, J. Zhou, Y. Zhang, B. Zhou, P. Wang, X. Li, B. Bai, H. Ren, L. Wang, A. Zhang, M. Jarrahi, Y. Huang, A. Ozcan, and X. Duan, “Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array,” Nature Communications (2024)

DOI: 10.1038/s41467-024-46387-5

Class-Spec-NN

: Y. Li, N. Pillar, J. Li, T. Liu, D. Wu, S. Sun, G. Ma, K. de Haan, L. Huang, Y. Zhang, S. Hamidi, A. Urisman, T.K. Haran, W.D. Wallace, J.E. Zuckerman, and A. Ozcan, “Virtual histological staining of unlabeled autopsy tissue,” Nature Communications (2024)

DOI: 10.1038/s41467-024-46077-2

Class-Spec-NN

: J. Hu, D. Mengu, D.C. Tzarouchis, B. Edwards, N. Engheta and A. Ozcan, “Diffractive Optical Computing in Free Space,” Nature Communications (2024)

DOI: 10.1038/s41467-024-45982-w

Class-Spec-NN

: N. Pillar, Y. Li, Y. Zhang, and A. Ozcan, “Virtual Staining of Non-Fixed Tissue Histology,” Modern Pathology (2024)

DOI: 10.1016/j.modpat.2024.100444

Class-Spec-NN

: Ç. Işıl, T. Gan, F.O. Ardic, K. Mentesoglu, J. Digani, H. Karaca, H. Chen, J. Li, D. Mengu, M. Jarrahi, K. Akşit, and A. Ozcan, “All-optical image denoising using a diffractive visual processor,” Light: Science & Applications (Nature Publishing Group) (2024)

DOI: 10.1038/s41377-024-01385-6

Class-Spec-NN

: M.S.S. Rahman, and A. Ozcan, “OAM-based diffractive all-optical classification,” Advanced Photonics (2024)

DOI: 10.1117/1.AP.6.1.010501

Class-Spec-NN

: X. Yang, M.S.S. Rahman, B. Bai, J. Li, and A. Ozcan, “Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks,” Advanced Photonics Nexus (2024)

DOI: 10.1117/1.APN.3.1.016010

Class-Spec-NN

: X. Li, D. Mengu, N.T. Yardimci, D. Turan, A. Charkhesht A. Ozcan, and M. Jarrahi, “Plasmonic photoconductive terahertz focal-plane array with pixel super-resolution,” Nature Photonics (2024)

DOI:10.1038/s41566-023-01346-2

Class-Spec-NN

: L. Huang, J. Li, X. Ding, Y. Zhang, H. Chen and A. Ozcan, “Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems,” Intelligent Computing (AAAS) (2023)

DOI: 10.34133/icomputing.0071

Class-Spec-NN

: V.N. Astratov, et al., “Roadmap on Label-Free Super-Resolution Imaging,” Laser & Photonics Reviews (2023)

https://doi.org/10.1002/lpor.202200029

Class-Spec-NN

: S.S. Rahman, T. Gan, E.A. Deger, Ç. Işıl, M. Jarrahi and A. Ozcan, “Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions,” Nature Communications (2023)

DOI: 10.1038/s41467-023-42556-0

Class-Spec-NN

: J. Li, X. Li, N.T. Yardimci, J. Hu, Y. Li, J. Chen, Y. Hung, M. Jarrahi, and A. Ozcan, “Rapid Sensing of Hidden Objects and Defects using a Single-Pixel Diffractive Terahertz Sensor,” Nature Communications (2023)

DOI: 10.1038/s41467-023-42554-2

Class-Spec-NN

: J. Park, B. Bai, D. Ryu, T. Liu, C. Lee, Y. Luo, M. Jae Lee, L. Huang, J. Shin, Y. Zhang, D. Ryu, Y. Li, G. Kim, H. Min, A. Ozcan, and Y. Park, “Artificial intelligence-enabled Quantitative Phase Imaging Methods for Life Sciences,” Nature Methods (2023)

DOI: 10.1038/s41592-023-02041-4

Class-Spec-NN

: V. Shah, X. Yang, A. Arnheim, S. Udani, D. Tseng, Y. Luo, M. Ouyang, G. Destgeer, O. Garner, H.C. Koydemir, A. Ozcan, D. Di Carlo, “Amphiphilic particle-stabilized nanoliter droplet reactors with a multi-modal portable reader for distributive biomarker quantification,” ACS Nano (2023)

DOI: 10.1021/acsnano.3c04994

Class-Spec-NN

: X. Li, J. Li, Y. Li, A. Ozcan, M. Jarrahi, “High-throughput terahertz imaging: progress and challenges,” Light: Science & Applications (Nature Publishing Group) (2023)

DOI: s41377-023-01278-0

Class-Spec-NN

: Y. Li, T. Gan, B. Bai, Ç. Işıl, M. Jarrahi, and A. Ozcan, “Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding” Advanced Photonics (2023)

DOI: 10.1117/1.AP.5.4.046009

Class-Spec-NN

: Y. Li, J. Li, Y. Zhao, T. Gan, J. Hu, M. Jarrahi, A. Ozcan “Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer,” Advanced Materials (2023)

DOI: 10.1002/adma.202303395

Class-Spec-NN

: C-Y. Shen, J. Li, D. Mengu, and A. Ozcan “Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network,” Advanced Intelligent Systems (2023)

DOI: 10.1002/aisy.202300300

Class-Spec-NN

: S.S. Rahman, X. Yang, J. Li, B. Bai, and A. Ozcan, “Universal Linear Intensity Transformations Using Spatially Incoherent Diffractive Processors,” Light: Science & Applications (2023)

DOI: 10.1038/s41377-023-01234-y

Class-Spec-NN

: L. Huang, H. Chen, T. Liu, and A. Ozcan, “Self-supervised learning of hologram reconstruction using physics consistency,” Nature Machine Intelligence (2023)

DOI: 10.1038/s42256-023-00704-7

Class-Spec-NN

: M.J. Fanous, N. Pillar, and A. Ozcan, “Digital Staining Facilitates Biomedical Microscopy,” Frontiers in Bioinformatics (2023)

DOI: 10.3389/fbinf.2023.1243663

Class-Spec-NN

: Y. Li, Y. Luo, D. Mengu, B. Bai, and A. Ozcan, “Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network,” Light: Advanced Manufacturing (2023)

DOI: 10.37188/lam.2023.017

Class-Spec-NN

: M.J. Fanous, A. Ozcan, “In-flow holographic tomography boosts lipid droplet quantification,” Opto-Electronic Advances (2023)

DOI: 10.29026/oea.2023.230083

Class-Spec-NN

: T. Liu, Y. Li, H.C. Koydemir, Y. Zhang, E. Yang, M. Eryilmaz, H. Wang, J. Li, B. Bai, G. Ma, and A. Ozcan, “Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning,” Nature Biomedical Engineering (2023)

DOI: 10.1038/s41551-023-01057-7

Class-Spec-NN

: J. Li, T. Gan, Y. Zhao, B. Bai, C-Y. Shen, S. Sun, M. Jarrahi and A. Ozcan, “Unidirectional Imaging using Deep Learning-Designed Materials,” Science Advances (AAAS) (2023)

DOI: 10.1126/sciadv.adg1505

Class-Spec-NN

: A. Goncharov, H-A. Joung, R. Ghosh, G-R. Han, Z.S. Ballard, Q. Maloney, A. Bell, C.T.Z. Aung, O.B. Garner, D. Di Carlo, and A. Ozcan, “Deep learning-enabled multiplexed point-of-care sensor using a paper-based fluorescence vertical flow assay,” Small (2023)

DOI: 10.1002/smll.202300617

Class-Spec-NN

: B. Bai, H. Wei, X. Yang, T. Gan, D. Mengu, M. Jarrahi, and A. Ozcan, “Data class-specific all-optical transformations and encryption,” Advanced Materials (2023)

DOI: 10.1002/adma.202212091

Class-Spec-NN

: D. Mengu, A. Tabassum, and M. Jarrahi and A. Ozcan, “Snapshot Multispectral Imaging Using a Diffractive Optical Network,” Light: Science & Applications (2023)

DOI: 10.1038/s41377-023-01135-0PDF

Class-Spec-NN

: B. Bai, Y. Li, Y. Luo, X. Li, E. Cetintas, M. Jarrahi and A. Ozcan, “All-optical image classification through unknown random diffusers using a single-pixel diffractive network,” Light: Science & Applications (2023)

DOI: 10.1038/s41377-023-01116-3

Class-Spec-NN

: B. Bai, X. Yang, Y. Li, Y. Zhang, N. Pillar and A. Ozcan, “Deep Learning-enabled Virtual Histological Staining of Biological Samples,” Light: Science & Applications (2023)

DOI: 10.1038/s41377-023-01104-7

Class-Spec-NN

: H. Chen, L. Huang, T. Liu, and A. Ozcan, “eFIN: Enhanced Fourier Imager Network for Generalizable Autofocusing and Pixel Super-Resolution in Holographic Imaging,” IEEE Journal of Selected Topics in Quantum Electronics (2023)

DOI: 10.1109/JSTQE.2023.3248684

Class-Spec-NN

: S.S. Rahman, and A. Ozcan, “Time-lapse image classification using a diffractive neural network,” Advanced Intelligent Systems (2023)

DOI: 10.1002/aisy.202200387

Class-Spec-NN

: J. Budd, B. Miller, et al., “Lateral flow test engineering and lessons learned from COVID-19” Nature Reviews Bioengineering (2023)

DOI: 10.1038/s44222-022-00007-3

Class-Spec-NN

: J. Li, T. Gan, B. Bai, Y. Luo, M. Jarrahi, and A. Ozcan, “Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network,” Advanced Photonics (2023)

DOI: 10.1117/1.AP.5.1.016003PDF

Class-Spec-NN

: C. Isıl, D. Mengu, Y. Zhao, A. Tabassum, J. Li, Y. Luo, M. Jarrahi and A. Ozcan, “Super-resolution image display using diffractive decoders,” Science Advances (2022)

DOI: 10.1126/sciadv.add3433

Class-Spec-NN

: N. Pillar and A. Ozcan, “Virtual tissue staining in pathology using machine learning,” Expert Review of Molecular Diagnostics (2022)

DOI: 10.1080/14737159.2022.2153040

Class-Spec-NN

: Y. Luo, Y. Zhang, T. Liu, A. Yu, Y. Wu, and A. Ozcan, “Virtual impactor-based label-free pollen detection using holography and deep learning,” ACS Sensors (2022)

DOI: 10.1021/acssensors.2c01890PDF

Class-Spec-NN

: S. Belsare, D. Tseng, A. Ozcan, and G. Coté, “Monitoring gestational diabetes at the point-of-care via dual glycated albumin lateral flow assays in conjunction with a handheld reader,” Analyst (2022)

DOI: 10.1039/D2AN01238CPDF

Class-Spec-NN

: Y. Zhang, L. Huang, T. Liu, K. Cheng, K. de Haan, Y. Li, B. Bai, and A. Ozcan, “Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks,” Intelligent Computing (AAAS) (2022)

DOI: 10.34133/2022/9818965

Class-Spec-NN

: B. Bai, H. Wang, Y. Li, K. de Haan, F. Colonnese, Y. Wan, J. Zuo, N.B. Doan, X. Zhang, Y. Zhang, J. Li, X. Yang, W. Dong, M. Angus Darrow, E. Kamangar, H. Sung Lee, Y. Rivenson, A. Ozcan, “Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning,” BME Frontiers (AAAS) (2022)

DOI: 10.34133/2022/9786242

Class-Spec-NN

: Y. Rivenson and A. Ozcan, “Deep learning accelerates whole slide imaging for next generation digital pathology applications,” Light: Science & Applications (Nature Publishing Group) (2022)

DOI:10.1038/s41377-022-00999-y

Class-Spec-NN

: D. Mengu, Y. Zhao, A. Tabassum, M. Jarrahi, and A. Ozcan, “Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks,” Nanophotonics (2022)

DOI: 10.1515/nanoph-2022-0358PDF

Class-Spec-NN

: X. Yang, B. Bai, Y. Li, Y. Zhang, T. Liu, K. de Haan, and A. Ozcan, “Virtual stain transfer in histology via cascaded deep neural networks” ACS Photonics (2022)

DOI: 10.1021/acsphotonics.2c00932

Class-Spec-NN

: H. Chen, L. Huang, T. Liu and A. Ozcan, “Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization,” Light: Science & Applications (2022)

DOI: 10.1038/s41377-022-00949-8PDF

Class-Spec-NN

: B. Bai, Y. Luo, T. Gan, J. Hu, Y. Li, Y. Zhao, D. Mengu, M. Jarrahi, and A. Ozcan, “To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects,” eLight (2022)

DOI: 10.1186/s43593-022-00021-3PDF

Class-Spec-NN

: Y. Li, Y. Luo, B. Bai, and A. Ozcan, “Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers,” IEEE Journal of Selected Topics in Quantum Electronics (IEEE JSTQE) (2022)

DOI: 10.1109/JSTQE.2022.3194574PDF

Class-Spec-NN

: Y. Li, T. Liu, H.C. Koydemir, H. Wang, K. O’Riordan, B. Bai, Y. Haga, J. Kobashi, H. Tanaka, T. Tamaru, K. Yamaguchi, and A. Ozcan, “Deep Learning-enabled Detection and Classification of Bacterial Colonies Using a Thin Film Transistor (TFT) Image Sensor” ACS Photonics (2022)

DOI: 10.1021/acsphotonics.2c00572

Class-Spec-NN

: L. Huang, X. Yang, T. Liu, and A. Ozcan, “Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network” APL Photonics (2022)

DOI: 10.1063/5.0090582

Class-Spec-NN

: J. Li, Y. Hung, O. Kulce, D. Mengu and A. Ozcan, “Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network,” Light: Science & Applications (Nature Publishing Group) (2022)

DOI: 10.1038/s41377-022-00849-xPDF

Class-Spec-NN

: D. Mengu and A. Ozcan, “All-optical phase recovery: diffractive computing for quantitative phase imaging” Advanced Optical Materials (2022)

DOI: 10.1002/adom.202200281PDF

Class-Spec-NN

: D. Mengu, S.S. Rahman, Y. Luo, J. Li and A. Ozcan, “At the intersection of optics and deep learning: statistical inference, computing, and inverse design” Advances in Optics and Photonics (2022)

DOI: 10.1364/AOP.450345PDF

Class-Spec-NN

: D. Mengu, M. Veli, Y. Rivenson and A. Ozcan, “Classification and reconstruction of spatially overlapping phase images using diffractive optical networks” Scientific Reports (2022)

DOI: 10.1038/s41598-022-12020-y

Class-Spec-NN

: Y. Luo, D. Mengu and A. Ozcan, “Cascadable all-optical NAND gates using diffractive networks” Scientific Reports (2022)

DOI: 10.1038/s41598-022-11331-4

Class-Spec-NN

: J. Leonard, H.C. Koydemir, V.S. Koutnik, D. Tseng, A. Ozcan, and S. Mohanty, “Smartphone-enabled rapid quantification of microplastics” Journal of Hazardous Materials Letters (2022)

DOI: 10.1016/j.hazl.2022.100052

Class-Spec-NN

: B.S. Miller, M.R. Thomas, M. Banner, J. Kim, Y. Chen, Q.Wei, D.K. Tseng, Z.S. Göröcs, A. Ozcan, M.M. Stevens, R.A. McKendry “Sub-picomolar lateral flow antigen detection with two-wavelength imaging of composite nanoparticles,” Biosensors and Bioelectronics (2022)

DOI: 10.1016/j.bios.2022.114133

Class-Spec-NN

: E. Cetintas, Y. Luo, C. Nguyen, Y. Guo, L. Li, Y. Zhu, A. Ozcan, “Characterization of exhaled e-cigarette aerosols in a vape shop using a field-portable holographic on-chip microscope,” Scientific Reports (2022)

DOI: 10.1038/s41598-022-07150-2

Class-Spec-NN

: Y. Luo, Y. Zhao, J. Li, E. Cetintas, Y. Rivenson, M. Jarrahi, A. Ozcan, “Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light,” eLight (2022)

DOI: 10.1186/s43593-022-00012-4PDF

Class-Spec-NN

: V.S. Koutnik, A. Borthakur, J. Leonard, S. Alkidim, H. Ceylan Koydemir, D. Tseng, A. Ozcan, S. Ravi, S.K. Mohanty, “Mobility of polypropylene microplastics in stormwater biofilters under freeze-thaw cycles” Journal of Hazardous Materials Letters (2022)

DOI: 10.1016/j.hazl.2022.100048

Class-Spec-NN

: V.S. Koutnik, J. Leonard, J.B. Glasman, H. Ceylan Koydemir, A. Novoselov, J. Brar, R. Bertel, D. Tseng, A. Ozcan, S. Ravi, S.K. Mohanty, “Microplastics retained in stormwater control measures: Where do they come from and where do they go?” Water Research (2021)

DOI: 10.1016/j.watres.2021.118008

Class-Spec-NN

: J. Li, J. Garfinkel, X. Zhang, D. Wu, Y. Zhang, K. de Haan, H. Wang, T. Liu, B. Bai, Y. Rivenson, G. Rubinstein, P. Scumpia and A. Ozcan, “Biopsy-free in vivo virtual histology of skin using deep learning,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-021-00674-8

Class-Spec-NN

: S.S. Rahman, and A. Ozcan, “Computer-free, all-optical reconstruction of holograms using diffractive networks,” ACS Photonics (2021)

DOI: 10.1021/acsphotonics.1c01365

Class-Spec-NN

: B. Javidi, et al., “Roadmap on Digital Holography,” Optics Express (2021)

DOI: 10.1364/OE.435915

Class-Spec-NN

: O. Kulce, D. Mengu, Y. Rivenson and A. Ozcan, “All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-021-00623-5

Class-Spec-NN

: J. Hambalek, J. Kong, C. Brown, H. Munoz, T. Horn, M. Bogumil, E. Quick, A. Ozcan, and D. Di Carlo, “Methylation Sensitive LAMP: Nucleic Acid Methylation Detection Through Loop-Mediated Isothermal Amplification with Mobile Fluorescence Readout,” ACS Sensors (2021)

DOI: 10.1021/acssensors.1c00902

Class-Spec-NN

: J.R. Bobe, B.L. Jutras, E.J. Horn, M.E. Embers, A. Bailey, R.L. Moritz, Y. Zhang, M.J. Soloski, R.S. Ostfeld, R.T. Marconi, J. Aucott, A. Ma’ayan, F. Keesing, K. Lewis, C.B. Mamoun, A.W. Rebman, M.E. McClune, E.B. Breitschwerdt, P.J. Reddy, R. Maggi, F. Yang, B. Nemser, A. Ozcan, O. Garner, D. Di Carlo, Z. Ballard, H-A. Joung, A. Garcia-Romeu, R.R. Griffiths, N. Baumgarth and B.A. Fallon, “Recent Progress in Lyme Disease and Remaining Challenges,” Frontiers in Medicine (2021)

DOI: 10.3389/fmed.2021.666554

Class-Spec-NN

: K. de Haan, Y. Zhang, J.E. Zuckerman, T. Liu, A.E. Sisk, M.F.P. Diaz, K. Jen, A. Nobori, S. Liou, S. Zhang, R. Riahi, Y. Rivenson, W.D. Wallace, and A. Ozcan, “Deep learning-based transformation of H&E stained tissues into special stains,” Nature Communications (2021)

DOI: 10.1038/s41467-021-25221-2PDF

Class-Spec-NN

: Y. Zhang, T. Liu, M. Singh, E. Çetintaş, Y. Luo, Y. Rivenson, K.V. Larin, and A. Ozcan, “Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-021-00594-7

Class-Spec-NN

: Y. Luo, H. Joung, S. Esparza, J. Rao, O. Garner, and A. Ozcan “Quantitative particle agglutination assay for point-of-care testing using mobile holographic imaging and deep learning,” Lab on a Chip (2021)

DOI: 10.1039/D1LC00467KarXiv

Class-Spec-NN

: Z. Ballard, C. Brown, A.M. Madni, and A. Ozcan, “Machine learning and computation enabled intelligent sensor designs,” Nature Machine Intelligence (2021)

DOI: 10.1038/s42256-021-00360-9

Class-Spec-NN

: X. Yang, L. Huang, Y. Luo, Y. Wu, H. Wang, Y. Rivenson, and A. Ozcan, “Deep-learning-based virtual refocusing of images using an engineered point-spread function,” ACS Photonics (2021)

DOI: 10.1021/acsphotonics.1c00660

Class-Spec-NN

: Y. Luo, Y. Wu, L. Li, Y. Guo, E. Cetintas, Y. Zhu, and A. Ozcan, “Dynamic Imaging and Characterization of Volatile Aerosols in E-Cigarette Emissions Using Deep Learning-Based Holographic Microscopy,” ACS Sensors (2021)

DOI: 10.1021/acssensors.1c00628

Class-Spec-NN

: L. Huang, T. Liu, X. Yang, T. Luo, Y. Rivenson, and A. Ozcan, “Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks,” ACS Photonics (2021)

DOI: 10.1021/acsphotonics.1c00337

Class-Spec-NN

: J. Li, D. Mengu, N.T. Yardimci, Y. Luo, X. Li, M. Veli, Y. Rivenson, M. Jarrahi and A. Ozcan, “Spectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks,” Science Advances (2021)

10.1126/sciadv.abd7690PDF

Class-Spec-NN

: L. Huang, H. Chen, Y. Luo, Y. Rivenson and A. Ozcan, “Recurrent neural network-based volumetric fluorescence microscopy,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-021-00506-9

Class-Spec-NN

: Ç. Işıl, K. de Haan, Z. Gӧrӧcs, H. Ceylan Koydemir, S. Peterman, D. Baum, F. Song, T. Skandakumar, E. Gumustekin, and A. Ozcan, “Phenotypic analysis of microalgae populations using label-free imaging flow cytometry and deep learning,” ACS Photonics (2021)

DOI: 10.1021/acsphotonics.1c00220PDF

Class-Spec-NN

: K. Trofymchuk, V. Glembockyte, L. Grabenhorst, F. Steiner, C. Vietz, C. Close, M. Pfeiffer, L. Richter, M.L. Schütte, F. Selbach, R. Yaadav, J. Zähringer, Q. Wei, A. Ozcan, B. Lalkens, G.P. Acuna, and P. Tinnefeld, “Addressable Nanoantennas with Cleared Hotspots for Single-Molecule Detection on a Portable Smartphone Microscope,” Nature Communications (2021)

DOI: 10.1038/s41467-021-21238-9

Class-Spec-NN

: C. Brown, A. Goncharov, Z. Ballard, M. Fordham, A. Clemens, Y. Qiu, Y. Rivenson, A. Ozcan, “Neural Network-Based On-Chip Spectroscopy Using a Scalable Plasmonic Encoder,” ACS Nano (2021)

DOI: 10.1021/acsnano.1c00079PDF

Class-Spec-NN

: O. Kulce, D. Mengu, Y. Rivenson and A. Ozcan, “All-Optical Information Processing Capacity of Diffractive Surfaces,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-020-00439-9PDF

Class-Spec-NN

: Y. Luo, L. Huang, Y. Rivenson, and A. Ozcan, “Single-shot autofocusing of microscopy images using deep learning,” ACS Photonics (2021)

DOI: 10.1021/acsphotonics.0c01774PDF

Class-Spec-NN

: S.S. Rahman, J. Li, D. Mengu, Yair Rivenson, and A. Ozcan, “Ensemble learning of diffractive optical networks,” Light: Science & Applications (Nature Publishing Group) (2021)

DOI: 10.1038/s41377-020-00446-w

Class-Spec-NN

: M. Zell, T. Aung, M. Kaldas, A.K. Rosenthal, B. Bai, T. Liu, A. Ozcan, and J.D. FitzGerald, “Calcium pyrophosphate crystal size and characteristics,” Osteoarthritis and Cartilage Open (2021)

DOI: 10.1016/j.ocarto.2020.100133

Class-Spec-NN

: M. Veli, D. Mengu, N.T. Yardimci, Y. Luo, J. Li, Y. Rivenson, M. Jarrahi, and A. Ozcan, “Terahertz Pulse Shaping Using Diffractive Surfaces,” Nature Communications (2021)

DOI: 10.1038/s41467-020-20268-zPDF

Class-Spec-NN

: D. Mengu, Y. Rivenson, and A. Ozcan, “Scale-, shift- and rotation-invariant diffractive optical networks,” ACS Photonics (2020)

DOI: 10.1021/acsphotonics.0c01583PDF

Paper-Assay

: G. Wetzstein, A. Ozcan, S. Gigan, S. Fan, D. Englund, M. Soljačić, C. Denz, D.A.B. Miller, and D. Psaltis, “Inference in artificial intelligence with deep optics and photonics,” Nature (2020)

DOI:10.1038/s41586-020-2973-6PDF

Paper-Assay

: T. Liu, K. de Haan, B. Bai, Y. Rivenson, Y. Luo, H. Wang, D. Karalli, H. Fu, Y. Zhang, J. FitzGerald, and A. Ozcan, “Deep learning-based holographic polarization microscopy,” ACS Photonics (2020)

DOI: 10.1021/acsphotonics.0c01051

Class-Spec-NN

: Y. Rivenson, K. de Haan, W.D. Wallace, A. Ozcan, “Emerging advances to transform histopathology using virtual staining,” BME Frontiers (2020)

DOI: 10.34133/2020/9647163PDF

Paper-Assay

: F. Ghaderinezhad, H.C. Koydemir, D. Tseng, D. Karinca, K. Liang, A. Ozcan, and S. Tasoglu, “Sensing of electrolytes in urine using a miniaturized paper-based device,” Scientific Reports (2020)

DOI: 10.1038/s41598-020-70456-6

Class-Spec-NN

: Z. Gӧrӧcs, D. Baum, F. Song, K. DeHaan, H.C. Koydemir, Y. Qiu, Z. Cai, T. Skandakumar, S. Peterman, M. Tamamitsu, and A. Ozcan, “Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer,” Lab on a Chip (2020)

DOI: 10.1039/D0LC00708K

Class-Spec-NN

: C. Brown, D. Tseng, P. Larkin, S. Realegeno, L. Mortimer, A. Subramonian, D. Di Carlo, O. Garner, and A. Ozcan, “An Automated, Cost-Effective Optical System for Accelerated Antimicrobial Susceptibility Testing (AST) using Deep Learning,” ACS Photonics (2020)

DOI: 10.1021/acsphotonics.0c00841

Class-Spec-NN

: H. Wang, H.C. Koydemir, Y. Qiu, B. Bai, Y. Zhang, Y. Jin, S. Tok, E.C. Yilmaz, E. Gumustekin, Y. Rivenson, and A. Ozcan, “Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning,” Light: Science & Applications (Nature Publishing Group) (2020)

DOI: 10.1038/s41377-020-00358-9PDF

Paper-Assay

: D. Mengu, Y. Zhao, N.T. Yardimci, Y. Rivenson, M. Jarrahi, and A. Ozcan, “Misalignment Resilient Diffractive Optical Networks,” Nanophotonics (2020)

DOI: 10.1515/nanoph-2020-0291PDF

Paper-Assay

: K. de Haan, H.C. Koydemir, Y. Rivenson, D. Tseng, E. Van Dyne, L.S. Bakic, D. Karinca, K. Liang, M. Ilango, E. Gumustekin, and A. Ozcan, “Automated screening of sickle cells using a smartphone-based microscope and deep learning,” npj Digital Medicine (2020)

DOI: 10.1038/s41746-020-0282-y

Class-Spec-NN

: Z. Ballard, H. Joung, A. Goncharov, J. Liang, K. Nugroho, D. Di Carlo, O. Garner, and A. Ozcan, “Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors,” npj Digital Medicine (2020)

DOI: 10.1038/s41746-020-0274-y

Class-Spec-NN

: Y. Zhang, K. de Haan, Y. Rivenson, J. Li, A. Delis, and A. Ozcan, “Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue,” Light: Science & Applications (Nature Publishing Group) (2020)

DOI: 10.1038/s41377-020-0315-y

Class-Spec-NN

: Z. Ballard, S. Bazargan, D. Jung, S. Sathianathan, A. Clemens, D. Shir, S. Al-Hashimi, and A. Ozcan, “Contact lens-based lysozyme detection in tear using a mobile sensor,” Lab on a Chip (2020)

DOI: 10.1039/C9LC01039D

Class-Spec-NN

: A. Ray, M.A. Khalid, A. Demčenko, M. Daloglu, D. Tseng, J. Reboud, J.M. Cooper and A. Ozcan, “Holographic Detection of Nanoparticles using Acoustically Actuated Nanolenses,” Nature Communications (2020)

DOI: 10.1038/s41467-019-13802-1

Class-Spec-NN

: H. Munoz, C. Riche, J. Kong, M. van Zee, O. Garner, A. Ozcan, D. Di Carlo, “Fractal-LAMP: Label-free analysis of fractal precipitate for digital loop-mediated isothermal nucleic acid amplification,” ACS Sensors (2020)

DOI: 10.1021/acssensors.9b01974

Class-Spec-NN

: A. Ray, S. Esparza, D. Wu, M.R. Hanudel, H. Joung, B. Gales, D. Tseng, I.B. Salusky, and A. Ozcan, “Measurement of Serum Phosphate Levels Using a Mobile Sensor,” Analyst (2020)

DOI: 10.1039/C9AN02215E

Class-Spec-NN

: H.C. Koydemir, S. Rajpal, E. Gumustekin, D. Karinca, K. Liang, Z. Gorocs, D. Tseng, and A. Ozcan, “Smartphone-based turbidity reader,” Scientific Reports (2019)

DOI: 10.1038/s41598-019-56474-z

Class-Spec-NN

: H. Joung, Z. Ballard, J. Wu, D. Tseng, H. Teshome, L. Zhang, E. Horn, P. Arnaboldi, R. Dattwyler, O.B. Garner, D. Di Carlo, and A. Ozcan, “Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning,” ACS Nano (2019)

DOI: 10.1021/acsnano.9b08151

Class-Spec-NN

: Y. Luo, D. Mengu, N.T. Yardimci, Y. Rivenson, M. Veli, M. Jarrahi and A. Ozcan, “Design of task-specific optical systems using broadband diffractive neural networks,” Light: Science & Applications (Nature Publishing Group) (2019)

DOI: 10.1038/s41377-019-0223-1PDF

Paper-Assay

: K. de Haan, Y. Rivenson, Y. Wu, and A. Ozcan, “Deep learning-based image reconstruction and enhancement in optical microscopy,” Proceedings of the IEEE (2019)

DOI: 10.1109/JPROC.2019.2949575PDF

Paper-Assay

: Y. Wu, Y. Rivenson, H. Wang, Y. Luo, E. Ben-David, L.A. Bentolila, C. Pritz and A. Ozcan, “Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning,” Nature Methods (2019)

DOI: 10.1038/s41592-019-0622-5PDF

Paper-Assay

: Y. Zhang, M. Ouyang, A. Ray, T. Liu, J. Kong, B. Bai, D. Kim, A. Guziak, Y. Luo, A. Feizi, K. Tsai, Z. Duan, X. Liu, D.H. Kim, C. Cheung, S. Yalcin, H. Ceylan Koydemir, O. Garner, D. Di Carlo, and A. Ozcan, “Computational cytometer based on magnetically-modulated coherent imaging and deep learning,” Light: Science & Applications (Nature Publishing Group) (2019)

DOI: 10.1038/s41377-019-0203-5

Class-Spec-NN

: Y. Rivenson, Y. Wu, and A. Ozcan, “Deep Learning in Holography and Coherent Imaging,” Light: Science & Applications (Nature Publishing Group) (2019)

DOI: 10.1038/s41377-019-0196-0

Class-Spec-NN

: M.A. Khalid, A. Ray, S. Cohen, M. Tassieri, D. Andriejus, D. Tseng, J. Reboud, A. Ozcan, and J. Cooper, “Computational Image Analysis of Guided Acoustic Waves Enables Rheological Assessment of Sub-Nanoliter Samples,” ACS Nano (2019)

DOI: 10.1021/acsnano.9b03219

Class-Spec-NN

: B. Bai, H. Wang, T. Liu, Y. Rivenson, J. FitzGerald, and A. Ozcan, “Pathological crystal imaging with single-shot computational polarized light microscopy,” Journal of Biophotonics (2019)

DOI: 10.1002/jbio.201960036

Class-Spec-NN

: K. de Haan, Z.S. Ballard, Y. Rivenson, Y. Wu, and A. Ozcan, “Resolution enhancement in scanning electron microscopy using deep learning,” Scientific Reports (2019)

DOI: 10.1038/s41598-019-48444-2

Class-Spec-NN

: G. Barbastathis, A. Ozcan and G. Situ, “On the use of Deep Learning for Computational Imaging,” Optica (2019)

DOI: 10.1364/OPTICA.6.000921

Class-Spec-NN

: T. Liu, Z. Wei, Y. Rivenson, K. de Haan, Y. Zhang, Y. Wu, and A. Ozcan, “Deep learning-based color holographic microscopy,” Journal of Biophotonics (2019)

DOI:10.1002/jbio.201900107

Class-Spec-NN

: S. Tok, K. de Haan, D. Tseng, C.F. Usanmaz, H.C. Koydemir, and A. Ozcan, “Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device,” Lab on a Chip (2019)

DOI: 10.1039/C9LC00652D

Class-Spec-NN

: J. Li, D. Mengu, Y. Luo, Y. Rivenson, A. Ozcan, “Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy,” Advanced Photonics (2019)

DOI: 10.1117/1.AP.1.4.046001arXiv:1906.03417

Class-Spec-NN

: D. Mengu, Y. Luo, Y. Rivenson, A. Ozcan, “Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks,” IEEE Journal of Selected Topics in Quantum Electronics (2019)

DOI: 10.1109/JSTQE.2019.2921376arXiv:1810.01916PDF

Diffractive-Neural

: T. Ghonge, H. Ceylan Koydemir, E. Valera, J. Berger, C. Garcia, N. Nawar, J. Tiao, G. Damhorst, A. Ganguli, U. Hassan, A. Ozcan, R. Bashir, “Smartphone-Imaged Microfluidic Biochip for Measuring CD64 Expression from Whole Blood,” Analyst (2019)

DOI: 10.1039/C9AN00532CPDF

CD64-Blood

: T. Liu, K. de Haan, Y. Rivenson, Z. Wei, X. Zeng, Y. Zhang, and A. Ozcan, “Deep learning-based super-resolution in coherent imaging systems,” Scientific Reports (2019)

DOI: 10.1038/s41598-019-40554-1arXiv:1810.06611PDF

DL-Coherent-Imaging

: Y. Wu, Y. Luo, G. Chaudhari, Y. Rivenson, A. Calis, K. de Haan, and A. Ozcan, “Bright-field holography: Cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram,” Light: Science & Applications (Nature Publishing Group) (2019)

DOI: 10.1038/s41377-019-0139-9PDF

Cross-Modality

: Y. Rivenson, T. Liu, Z. Wei, Y. Zhang, K. de Haan, and A. Ozcan, “PhaseStain: The digital staining of label-free quantitative phase microscopy images using deep learning,” Light: Science & Applications (Nature Publishing Group) (2019)

DOI: 10.1038/s41377-019-0129-yPDF

Phase-Stain

: Y. Rivenson, H. Wang, Z. Wei, K. de Haan, Y. Zhang, Y. Wu, H. Günaydın, J.E. Zuckerman, T. Chong, A.E. Sisk, L. M. Westbrook, W.D. Wallace, and A. Ozcan, “Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning,” Nature Biomedical Engineering (2019)

DOI: 10.1038/s41551-019-0362-yarXiv:1803.11293PDF

Deep-Learning-Tissue"

: M.U. Daloglu, A. Ray, M.J. Collazo, C. Brown, D. Tseng, B. Chocarro-Ruiz, L.M. Lechuga, D. Cascio and A.Ozcan, “Low-cost and portable UV holographic microscope for high-contrast protein crystal imaging,” APL Photonics (2019)

DOI: 10.1063/1.5080158PDF

UV-Protein

: H. Joung, Z.S. Ballard, A. Ma, D.K. Tseng, H. Teshome, S. Burakowski, O.B. Garner, D. Di Carlo, A. Ozcan, “Paper-based multiplexed vertical flow assay for point-of-care testing,” Lab on a Chip (2019)

DOI: 10.1039/C9LC00011APDF

Paper-Assay

: J.W. Snow, H.C. Koydemir, D.K. Karinca, K. Liang, D. Tseng, A. Ozcan, “Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy,” Lab on a Chip (2019)

DOI: 10.1039/C8LC01342JPDF

Honeybee

: C. Vietz, M.L. Schütte, Q. Wei, L. Richter, B. Lalkens, A. Ozcan, P. Tinnefeld and G.P. Acuna, “Benchmarking Smartphone Based Microscopy with DNA Origami Nanobeads: Reducing the Gap Towards Single Molecule Sensitivity,” ACS Omega (2019)

DOI: 10.1021/acsomega.8b03136PDF

Benchmark-DNA-Origami

: H. Wang, Y. Rivenson, Y. Jin, Z. Wei, R. Gao, H. Gunaydin, L. Bentolila, and A. Ozcan, “Deep learning achieves super-resolution in fluorescence microscopy,” Nature Methods (2018)

bioRxiv 309641DOI: 10.1038/s41592-018-0239-0PDF

Deep-Learning-Super-Resolution"


: Y. Wu, A. Ray, Q. Wei, A. Feizi, X. Tong, E. Chen, Y. Luo, and A. Ozcan, “Deep learning enables high-throughput analysis of particle-aggregation-based bio-sensors imaged using holography,” ACS Photonics (2018)

DOI: 10.1021/acsphotonics.8b01479

Motility-Parasites-bodily

: Y. Zhang, H.C. Koydemir, M.M. Shimogawa, S. Yalcin, A. Guziak, T. Liu, I. Oguz, Y. Huang, B. Bai, Y. Luo, Y. Luo, Z. Wei, H. Wang, V. Bianco, B. Zhang, R. Nadkarni, K. Hill, and A. Ozcan, “Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning,” Light: Science & Applications (Nature Publishing Group) (2018)

DOI: 10.1038/s41377-018-0110-1PDF

Motility-Parasites-bodily

: H.C. Koydemir, J.T. Coulibaly, D. Tseng, I.I. Bogoch, A. Ozcan, “Design and Validation of a Wide-Field Mobile Phone Microscope for the Diagnosis of Schistosomiasis” Travel Medicine and Infectious Disease (2018)

DOI: 10.1016/j.tmaid.2018.12.001

Design-Validate-Phone

: Y. Zhang, T. Liu, Y. Huang, D. Teng, Y. Bian, Y. Wu, Y. Rivenson, A. Feizi, and A. Ozcan, “Accurate color imaging of pathology slides using holography and absorbance spectrum estimation of histochemical stains,” Journal of Biophotonics (2018)

DOI: 10.1002/jbio.201800335

Color-Imaging-Holography

: V. Müller, J.M. Sousa, H.C. Koydemir, M. Veli, D. Tseng, L. Cerqueira, A. Ozcan, N.F. Azevedo, F. Westerlund, “Identification of Pathogenic Bacteria in Complex Samples Using a Smartphone Based Fluorescence Microscope,” RSC Advances (2018)

DOI: 10.1039/c8ra06473cPDF

Pathogenic-Complex

: Y. Bian, Y. Zhang, P. Yin, H. Li, and A. Ozcan, “Optical refractometry using lensless holography and autofocusing,” Optics Express (2018)

DOI: 10.1364/OE.26.029614

Refractometry-autofocus

: M.U. Daloglu, F. Lin, B. Chong, D. Chien, M. Veli, W. Luo, and A. Ozcan, “3D imaging of sex-sorted bovine spermatozoon locomotion, head spin and flagellum beating,” Scientific Reports (2018)

DOI:10.1038/s41598-018-34040-3

3D-sperm

: Y. Wu, A. Calis, Y. Luo, C. Chen, M. Lutton, Y. Rivenson, X. Lin, H.C. Koydemir, Y. Zhang, H. Wang, Z. Göröcs, and A. Ozcan, “Label-free bio-aerosol sensing using mobile microscopy and deep learning,” ACS Photonics (2018)

DOI: 10.1021/acsphotonics.8b01109PDF

Aerosol-sensing

: Z. Ballard, and A. Ozcan, “Nucleic acid quantification in the field,” Nature Biomedical Engineering (2018)

DOI: 10.1038/s41551-018-0292-0PDF

Nucleic-Acid

: Z. Gӧrӧcs, M. Tamamitsu, V. Bianco, P. Wolf, S. Roy, K. Shindo, K. Yanny, Y. Wu, H.C. Koydemir, Y. Rivenson, and A. Ozcan, “A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput and label-free analysis of natural water samples,” Light: Science & Applications (Nature Publishing Group) (2018)

DOI: 10.1038/s41377-018-0067-0PDF

Deep-Lrn-Cytometer

: X. Lin, Y. Rivenson, N.T. Yardimci, M. Veli, Y. Luo, M. Jarrahi and A. Ozcan, “All-Optical Machine Learning Using Diffractive Deep Neural Networks,” Science (2018)

DOI: 10.1126/science.aat8084PDF

Optical-ML-Neural

: I. Hernández-Neuta, F. Neumann, J. Brightmeyer, T. Ba Tis, N. Madaboosi, Q. Wei, A. Ozcan and M. Nilsson, “Smartphone-based clinical diagnostics: Towards democratization of evidence-based health care,” Journal of Internal Medicine (2018)

DOI: 10.1111/joim.12820

smartphone-democracy

: S. Kahkeshani, J.E. Kong, Q. Wei, D. Tseng, O.B. Garner, A. Ozcan, and D. Di Carlo, “Ferrodrop dose-optimized-digital quantification of biomolecules in low-volume samples,” Analytical Chemistry (2018)

DOI: 10.1021/acs.analchem.8b00958

Ferrodrop-Biomolecules

: M. Shimogawa, S. Ray, N. Kisalu, Y. Zhang, Q. Geng, A. Ozcan, and K. Hill, “Parasite motility is critical for virulence of African trypanosomes,” Scientific Reports (2018)

DOI: 10.1038/s41598-018-27228-0

African-Trypanosomes height=

: Y. Rivenson and A. Ozcan, “Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction,” OSA OPN (2018) – arXiv:1805.08970 (2018)

OSA OPNarXiv:1805.08970

Deep-Learning-Super-Resolution"

: Y. Wu, Y. Rivenson, Y. Zhang, Z. Wei, H. Gunaydin, X. Lin, and A. Ozcan, “Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery,” Optica (2018) – arXiv:1803.08138 (2018)

DOI: 10.1364/OPTICA.5.000704arXiv:1803.08138

Holographic-Reconstruction"

: Y. Zhang, M. Alexander, S. Yang, Y. Bian, E. Botvinick, J.R.T. Lakey, and A. Ozcan, “High-throughput screening of encapsulated islets using wide-field lens-free on-chip imaging,” ACS Photonics (2018) – arXiv:1803.03534 (2018)

DOI: 10.1021/acsphotonics.8b00343arXiv:1803.03534

Islets-Lens-free"

: H.C. Koydemir and A. Ozcan, “Smartphones Democratize Advanced Biomedical Instruments and Foster Innovation,” Clinical Pharmacology & Therapeutics (2018)

DOI: 10.1002/cpt.1081PDF

Smartphone-Democracy

: Z. Ballard, C. Brown and A. Ozcan, “Mobile Technologies for the Discovery, Analysis and Engineering of the Global Microbiome,” ACS Nano (2018)

DOI: 10.1021/acsnano.7b08660PDF

Global-Microbiome"

: M. Veli, and A. Ozcan, “Computational Sensing of Staphylococcus aureus on Contact Lenses using 3D Imaging of Curved Surfaces and Machine Learning,” ACS Nano (2018)

DOI: 10.1021/acsnano.7b08375PDF

Contact-Lense"

: H.C. Koydemir, and A. Ozcan, “Wearable and Implantable Sensors for Biomedical Applications,” Annual Review of Analytical Chemistry (2018)

DOI: 10.1146/annurev-anchem-061417-125956PDF

Implantable-Sensors"

: Y. Rivenson, H.C. Koydemir, H. Wang, Z. Wei, Z. Ren, H. Günaydın, Y. Zhang, Z. Göröcs, K. Liang, D. Tseng, A. Ozcan, “Deep learning enhanced mobile-phone microscopy,” ACS Photonics (2018) – arXiv:1712.04139 (2017)

DOI: 10.1021/acsphotonics.8b00146arXiv:1712.04139

deep-learning-cellphone"

: Y. Rivenson, Z. Gorocs, H. Gunaydin, Y. Zhang, H. Wang, and A. Ozcan, “Deep Learning Microscopy,” Optica (2017)

DOI: 10.1364/OPTICA.4.001437PDF

deep-learning"

: D. Kim, Q. Wei, D.H. Kim, D. Tseng, J. Zhang, E. Pan, O. Garner, A. Ozcan, D. Di Carlo, “Enzyme-free Nucleic Acid Amplification Assay Using a Cellphone-Based Well Plate Fluorescence Reader,” Analytical Chemistry (2017)

DOI: 10.1021/acs.analchem.7b03848

acid-amplify"

: Y. Rivenson, Y. Zhang, H. Günaydın, D. Teng, and A. Ozcan, “Phase recovery and holographic image reconstruction using deep learning in neural networks,” Light: Science & Applications (Nature Publishing Group) (2017)

DOI: 10.1038/lsa.2017.141PDF

phase-recovery-reconstruct"

: Z.S. Ballard, Y. Zhang and A. Ozcan, “Off-axis holography and micro-optics improve lab-on-a-chip imaging,” Light: Science & Applications (Nature Publishing Group) (2017)

DOI:10.1038/lsa.2017.105

holographic-micro-optics"

: Y. Zhang, H. Wang, Y. Wu, M. Tamamitsu, and A. Ozcan, “Edge sparsity criterion for robust holographic autofocusing,” Optics Letters (2017)

DOI: 10.1364/OL.42.003824PDF

holographic-autofocus"

: E. McLeod and A. Ozcan, “Microscopy without lenses,” Physics Today (2017)

DOI: 10.1063/PT.3.3693PDF

microscopy-nolens"

: Y. Wu and A. Ozcan, “Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring,” Methods (2017)

DOI: 10.1016/j.ymeth.2017.08.013PDF

lensless-microscopy"

: P. Minzioni, et al., “Roadmap for optofluidics,” Journal of Optics (2017)

DOI:10.1088/2040-8986/aa783bPDF

optofluidics"

: M. Daloglu, W. Luo, F. Shabbir, F. Lin, K. Kim, I. Lee, J. Jiang, W. Cai, V. Ramesh, and M. Yu, and A. Ozcan, “Label-free 3D computational imaging of spermatozoon locomotion, head spin and flagellum beating over a large volume,” Light: Science & Applications (Nature Publishing Group) (2017) – Cover Article

DOI: 10.1038/lsa.2017.121PDF

3D-Image-Sperm"

: Y. Zhang, Y. Shin, K. Sung, S. Yang, H. Chen, H. Wang, D. Teng, Y. Rivenson, R.P. Kulkarni, and A. Ozcan, “3D Imaging of Optically Cleared Tissue Using a Simplified CLARITY Method and On-Chip Microscopy,” Science Advances (AAAS) (2017)

DOI: 10.1126/sciadv.1700553

Optically-Cleared"

: D.Y. Joh, A.M. Hucknall, Q. Wei, K.A. Mason, C.M. Fontes, R.T. Hill, R. Blair, Z. Zimmers, R.K. Achar, D. Tseng, R. Gordan, M. Freemark, A. Ozcan, A. Chilkoti, “Inkjet Printed Point-of-Care Immunoassay on a Nanoscale Polymer Brush Enables Sub-Picomolar Detection of Analytes in Blood,” Proceedings of the National Academy of Sciences (PNAS) (2017)

DOI:10.1073/pnas.1703200114

Ink-jet_Assay"

: M.U. Daloglu and A. Ozcan, “Computational Imaging of Sperm Locomotion,” Biology of Reproduction (2017)

DOI: 10.1093/biolre/iox086

Sperm-Imaging"

: A. Ray, M.U. Daloglu, J. Ho, A. Torres, E. Mcleod and A. Ozcan, “Computational sensing of herpes simplex virus using a cost-effective on-chip microscope,” Scientific Reports (Nature Publishing Group) (2017)

DOI:10.1038/s41598-017-05124-3

Simplex-Herpes"

: H.C. Koydemir, S. Feng, K. Liang, R. Nadkarni, P. Benien, and A. Ozcan, “Comparison of Supervised Machine Learning Algorithms for Waterborne Pathogen Detection using Mobile-Phone Fluorescence Microscopy,” Nanophotonics (2017)

DOI: nanoph-2017-0001

Waterborne-Pathogen"

: H.C. Koydemir, and A. Ozcan, “Mobile phones create new opportunities for microbiology research and clinical applications,” Future Microbiology (2017)

DOI:10.2217/fmb-2017-0046

MobilePhones"

: Q. Wei, G. Acuna, S. Kim, C. Vietz, D. Tseng, J. Chae, D. Shir, W. Luo, P. Tinnefeld, and A. Ozcan, “Plasmonics Enhanced Smartphone Fluorescence Microscopy,” Scientific Reports (Nature Publishing Group) (2017)

DOI: 10.1038/s41598-017-02395-8PDF

Nanoparticle-Degrade"

: A. Ray, S. Li, T. Segura, and A. Ozcan, “High-throughput quantification of nanoparticle degradation using computational microscopy and its application to drug delivery nanocapsules,” ACS Photonics (2017)

DOI: 10.1021/acsphotonics.7b00122PDF

Nanoparticle-Degrade"

: I. Bogoch, H.C. Koydemir, D. Tseng, R. Ephraim, E. Duah, J. Tee, J. Andrews, and A. Ozcan, “Evaluation of a mobile phone-based microscope for screening of Schistosoma haematobium infection in rural Ghana,” American Journal of Tropical Medicine & Hygiene (2017)

DOI:10.4269/ajtmh.16-0912

Schistosoma"

: Y. Wu, A. Shiledar, Y. Li, J. Wong, S. Feng, X. Chen, C. Chen, K. Jin, S. Janamian, Z. Yang, Z.S. Ballard, Z. Göröcs, A. Feizi, and A. Ozcan, “Air Quality Monitoring Using Mobile Microscopy and Machine Learning,” Light: Science & Applications (Nature Publishing Group) (2017)

DOI: 10.1038/lsa.2017.46PDF

Air

: M. Daloglu, A. Ray, Z. Gorocs, M. Xiong, R. Malik, G. Bitan, E. McLeod and A. Ozcan, “Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light,” Scientific Reports (Nature Publishing Group) (2017)

DOI: 10.1038/srep44157

TOC

: J. Kong, Q. Wei, D. Tseng, J. Zhang, E. Pan, M. Lewinski, O. Garner, A. Ozcan, and D. Di Carlo, “Highly stable and sensitive nucleic acid amplification and cell-phone based readout” ACS Nano (2017)

DOI: 10.1021/acsnano.6b08274

TOC

: Z. Ballard, D. Shir, A. Bhardwaj, S. Bazargan, S. Sathianathan, and A. Ozcan, “Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning,” ACS Nano (2017)

DOI: 10.1021/acsnano.7b00105

TOC-2"

: M. Kühnemund, Q. Wei, E. Darai, Y. Wang, I. Hernandez-Neuta, Z. Yang, D. Tseng, A, Ahlford, L. Mathot, T. Sjöblom, A. Ozcan, and M. Nilsson, “Targeted DNA sequencing and in situ mutation analysis using mobile phone microscopy,” Nature Communications (2017)

DOI: 10.1038/NCOMMS13913PDF

TOC-2"

: S. Feng, D. Tseng, D. DiCarlo, O. Garner and A. Ozcan, “High-throughput and automated diagnosis of antimicrobial resistance using a cost-effective cellphone-based micro-plate reader,” Scientific Reports (Nature Publishing Group) (2016)

DOI: 10.1038/srep39203

Micro_plate_reader"

: Y. Rivenson, Y. Wu, H. Wang, Y. Zhang, A. Feizi and A. Ozcan, ”Sparsity-based multi-height phase recovery in holographic microscopy,” Scientific Reports (Nature Publishing Group) (2016)

DOI: 10.1038/srep37862

Multi-Height-Phase-Recovery"

: H. Wang, Z. Gorocs, W. Luo, Y. Zhang, Y. Rivenson, L.A. Bentolila, and A. Ozcan, ”Computational out-of-focus imaging increases the space-bandwidth product in lens-based coherent microscopy,” Optica (2016)

DOI: 10.1364/OPTICA.3.001422

Out-of-Focus-Imaging"

: A. Feizi, Y. Zhang, A. Greenbaum, A. Guziak, M. Luong, R.Y. Chan, B. Berg, H. Ozkan, W. Luo, M. Wu, Y. Wu, and A. Ozcan, ”Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning,” Lab on a Chip (2016)

DOI:10.1039/C6LC00976JPDF

2016_lab-chip_yeast

: Z. Gorocs, Y. Rivenson, H.C. Koydemir, D. Tseng, T. Troy, V. Demas, and A. Ozcan, ”Quantitative fluorescence sensing through highly autofluorescent, scattering and absorbing media using mobile microscopy,” ACS Nano (2016)

DOI:10.1021/acsnano.6b05129PDF

2016_acs_nano_wearable_microscopy

: D. Kim, O. Garner, A. Ozcan and D. Di Carlo, ”Homogenous Entropy-driven Amplified Detection of Biomolecular Interactions,” ACS Nano (2016)

DOI:10.1021/acsnano.6b02060

2016_acs_nano_detection_of_biomolecular_interactions

: B. Munos, et al., ”Mobile health: the power of wearables, sensors, and apps to transform clinical trials,” Annals of the New York Academy of Sciences (2016)

DOI:10.1111/nyas.13117

2016_mobile_health_clinical_trials

: Y. Zhang, S.Y. Lee, Y. Zhang, D. Furst, J. Fitzgerald and A. Ozcan, ”Wide-field imaging of birefringent synovial fluid crystals using lens-free polarized microscopy for gout diagnosis,” Scientific Reports (Nature Publishing Group) (2016)

DOI:10.1038/srep28793

2016_synovial_fluid_crystals

: Y. Wu, Y. Zhang, W. Luo and A. Ozcan, ”Demosaiced pixel super-resolution for multiplexed holographic color imaging,” Scientific Reports (Nature Publishing Group) (2016)

DOI:10.1038/srep28601

2016_demosaiced_pixel_sr

: Y. Zhang, Y. Wu, Y. Zhang, and A. Ozcan, ”Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproduction,” Scientific Reports (Nature Publishing Group) (2016)

DOI:10.1038/srep27811

2016_sci_reports_color_calibration

: E. McLeod and A. Ozcan, ”Unconventional methods of imaging: computational microscopy and compact implementations,” Reports on Progress in Physics (2016)

DOI:10.1088/0034-4885/79/7/076001PDF

2016_sci_reps_propagation_phasor

: W. Luo, Y. Zhang, Z. Gorocs, A. Feizi and A. Ozcan, ”Propagation phasor approach for holographic image reconstruction,” Scientific Reports (Nature Publishing Group) (2016)

DOI:10.1038/srep22738

2016_sci_reps_propagation_phasor

: A. Ozcan and E. McLeod, ”Lensless Imaging and Sensing,” The Annual Review of Biomedical Engineering (2016)

DOI:10.1146/annurev-bioeng-092515-010849PDF

2016_annurev-bioeng

: T-W. Su, I. Choi, J. Feng, K. Huang and A. Ozcan, ”High-throughput analysis of horse sperms’ 3D swimming patterns using computational on-chip imaging,” Animal Reproduction Science (2016)

DOI:10.1016/j.anireprosci.2015.12.012

2016_animal_reproduction_science_horse_sperm

: J.S. Biteen, P.C. Blainey, Z.G. Cardon, M. Chun, G.M. Church, P.C. Dorrestein, S.E. Fraser, J.A. Gilbert, J.K. Jansson, R. Knight, J.F. Miller, A. Ozcan, K.A. Prather, S.R. Quake, E.G. Ruby, P.A. Silver, S. Taha, G. van den Engh, P.S. Weiss, G.C.L. Wong, A.T. Wright, T.D. Young, ”Tools for the Microbiome: Nano and Beyond,” ACS Nano (2015)

DOI:10.1021/acsnano.5b07826PDF

ACS-Nano-Microbiome-2015

: W. Luo, Y. Zhang, A. Feizi, Z. Gorocs, and A. Ozcan, ”Pixel super-resolution using wavelength scanning,” Light: Science & Applications (Nature Publishing Group) (2015)

DOI:10.1038/lsa.2016.60 – PDF

Wavelength-PSR-Nature-LSA-2015

: D. Shir, Z.S. Ballard, and A. Ozcan, ”Flexible Plasmonic Sensors,” IEEE Journal of Selected Topics in Quantum Electronics (2015)

DOI:10.1109/JSTQE.2015.2507363Invited Manuscript

2015_ieee_flex_plas_sen

: A.P. Alivisatos, et al., ”A unified initiative to harness Earth’s microbiomes,” Science (2015)

DOI:10.1126/science.aac8480

2015_science_microbiome

: S.K. Vashist, P.B. Luppa, L.Y. Yeo, A. Ozcan, J.H.T. Luong, ”Emerging technologies for next-generation point-of-care testing,” Trends in Biotechnology (2015)

DOI:10.1016/j.tibtech.2015.09.00

2015_trends_biotech

: J.C. Contreras-Naranjo, Q. Wei, and A. Ozcan, ”Mobile Phone Based Microscopy, Sensing, and Diagnostics,” IEEE Journal of Selected Topics in Quantum Electronics (2015)

DOI:10.1109/JSTQE.2015.2478657Invited Manuscript

2015_milk_biomarkers

: S.K.J. Ludwig, C. Tokarski, S. Lang, L.A. Ginkel, H. Zhu, A. Ozcan and M.W.F. Nielen, ”Calling biomarkers in milk using a protein microarray on your smartphone,” PLoS ONE (2015)

DOI:10.1371/journal.pone.0134360

2015_milk_biomarkers

: B. Berg, B. Cortazar, D. Tseng, H. Ozkan, S. Feng, Q. Wei, R. Chan, J. Burbano, Q. Farooqui, M. Lewinski, D. Di Carlo, O.B. Garner, and A. Ozcan, ”Cellphone-Based Hand-Held Micro-Plate Reader for Point-of-Care Testing of Enzyme-Linked Immunosorbent Assays,” ACS Nano (2015)

DOI:10.1021/acsnano.5b03203

2015_portable_elisa

: Z. Göröcs, E. McLeod, and A. Ozcan, ”Enhanced light collection in fluorescence microscopy using self-assembled micro-reflectors,” Scientific Reports (Nature Publishing Group) (2015)

DOI:10.1038/srep10999

2015_microreflectors_sci_reps

: E. McLeod, Q. Wei and A. Ozcan, ”Democratization of Nanoscale Imaging and Sensing Tools using Photonics,” Analytical Chemistry (2015)

DOI:10.1021/acs.analchem.5b01381

2015_democratization_anal_chem

: Y. Zhang, A. Greenbaum, W. Luo, and A. Ozcan, ”Wide-field Pathology Imaging using On-chip Microscopy,” Virchows Archiv – The Journal of the European Society of Pathology (2015)

DOI:10.1007/s00428-015-1782-zInvited Review Article

2015_pathology_virchows

: W. Luo, F. Shabbir, C. Gong, C. Gulec, J. Pigeon, J. Shaw, A. Greenbaum, S. Tochitsky, C. Joshi, and A. Ozcan, ”High throughput on-chip analysis of high-energy charged particle tracks using lensfree imaging,” Applied Physics Letters (2015)

DOI:10.1063/1.4918741

2015_charged_particle_tracks

: E. McLeod, T.U. Dincer, M. Veli, Y.N. Ertas, C. Nguyen, W. Luo, A. Greenbaum, A. Feizi, and A. Ozcan, ”High-Throughput and Label-Free Single Nanoparticle Sizing Based on Time-Resolved On-Chip Microscopy,” ACS Nano (2015)

DOI:10.1021/acsnano.5b00388

2015_Nanoparticle_Sizing

: B. Cortazar, H.C. Koydemir, D. Tseng, S. Feng and A. Ozcan, ”Quantification of Plant Chlorophyll Content Using Google Glass,” Lab on a Chip (2015)

DOI:10.1039/C4LC01279H

2015_Glass_Chlorophyll

: W. Luo, A. Greenbaum, Y. Zhang, and A. Ozcan, ”Synthetic aperture based on-chip microscopy,” Light: Science & Applications (Nature Publishing Group) (2015)

DOI:10.1038/lsa.2015.34PDF

2015_LSA_synthetic_aperature

: A. Greenbaum, Y. Zhang, A. Feizi, P. Chung, W. Luo, S.R. Kandukuri, and A. Ozcan, ”Wide-field Computational Imaging of Pathology Slides using Lensfree On-Chip Microscopy,” Science Translational Medicine (AAAS) (2014)

DOI:10.1126/scitranslmed.3009850ReprintFull Text

2014_stm_cover_img

: H.C. Koydemir, Z. Gorocs, D. Tseng, B. Cortazar, S. Feng, R.Y.L. Chan, J. Burbano, E. McLeod, and A. Ozcan, ”Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning,” Lab on a Chip (2014)

DOI:10.1039/C4LC01358A

2014_giardia_imaging

: Q. Wei, W. Luo, S. Chiang, T. Kappel, C. Mejia, D. Tseng, R. Chan, E. Yan, H. Qi, F. Shabbir, H. Ozkan, S. Feng, and A. Ozcan, ”Imaging and Sizing of Single DNA Molecules on a Mobile-Phone,” ACS Nano (2014)

DOI:10.1021/nn505821y

2014_dna_quantification

: A.F. Coskun, A.E. Cetin, B.C. Galarreta, D.A. Alvarez, H. Altug, and A. Ozcan, ”Lensfree optofluidic plasmonic sensor for real-time and label-free monitoring of molecular binding events over a wide field-of-view,” Scientific Reports (Nature Publishing Group) (2014)

DOI:10.1038/srep06789

2014_microfluidic_plasmonic_sensor

: E. McLeod and A. Ozcan, ”Nano-imaging enabled via self-assembly,” Nano Today (2014)

DOI:10.1016/j.nantod.2014.08.005

2014_nano-imaging_self-assembly

: E. McLeod, C. Nguyen, P. Huang, W. Luo, M. Veli, and A. Ozcan, ”Tunable vapor-condensed nanolenses,” ACS Nano (2014)

DOI:10.1021/nn502453h

2014_tunable_nanolenses

: S.K.J. Ludwig, H. Zhu, S. Phillips, A. Shiledar, S. Feng, D. Tseng, L.A. van Ginkela, M.W.F. Nielen, and A. Ozcan, ”Cellphone-based detection platform for rbST biomarker analysis in milk extracts using a microsphere fluorescence immunoassay,” Analytical and Bioanalytical Chemistry (2014)

DOI:10.1007/s00216-014-7984-4

2014_flatbed_scanner

: Z. Göröcs and A. Ozcan, ”Biomedical Imaging and Sensing using Flatbed Scanners,” Lab on a Chip (2014)

DOI:10.1039/C4LC00530A

2014_flatbed_scanner

: A. Ozcan, ”Educational games for malaria diagnosis,” Science Translational Medicine (AAAS) (2014)

DOI:10.1126/scitranslmed.3009172PDF

Malaria Training GameBioGames_Interface

: I. Pushkarsky, Y. Lyb, W. Weaver, T-W. Su, O. Mudanyali, A. Ozcan, and D. Di Carlo, ”Automated single-cell motility analysis on a chip using lensfree microscopy,” Scientific Reports (Nature Publishing Group) (2014)

DOI:10.1038/srep04717

2014_scientific_methods_single_cell_motility

: A. Ozcan, ”Mobile Phones Democratize and Cultivate Next-Generation Imaging, Diagnostics and Measurement Tools,” Lab on a Chip (2014)

DOI:10.1039/C4LC00010B

2014_LabChip_Review

: S. Feng, R. Caire, B. Cortazar, M. Turan, A. Wong, and A. Ozcan, ”Immunochromatographic Diagnostic Test Analysis Using Google Glass,” ACS Nano (2014)

DOI:10.1021/nn500614k

2014_ACSNano_RDTGlass

: I. Sencan, A.F. Coskun, U. Sikora, and A. Ozcan, ”Spectral Demultiplexing in Holographic and Fluorescent On-chip Microscopy,” Scientific Reports (Nature Publishing Group) (2014)

DOI:10.1038/srep03760

2014_Spectral_Demux_Nature

: Q. Wei, R. Nagi, K. Sadeghi, S. Feng, E. Yang, S. Ki, R. Caire, D. Tseng, and A. Ozcan, ”Detection and Spatial Mapping of Mercury Contamination in Water Samples using a Smart-Phone,” ACS Nano (2014)

DOI:10.1021/nn406571t

2014_ACSNano_Mercury

: A.E. Cetin, A.F. Coskun, B.C. Galarreta, M. Huang, D. Herman, A. Ozcan and H. Altug, ”Handheld High-Throughput Plasmonic Biosensor using Computational On-Chip Imaging,” Light: Science & Applications (Nature Publishing Group) (2014)

DOI:10.1038/lsa.2014.3PDF

2014_Light_Plasmonic_Biosensor

: S. K. Vashista, O. Mudanyali, E. M. Schneidere, R. Zengerle, and A. Ozcan, ”Cellphone-based devices for bioanalytical sciences,” Analytical and Bioanalytical Chemistry (2013)

DOI:10.1007/s00216-013-7473-1

2013_Anal_Chem

: A. Greenbaum, N. Akbari, A. Feizi, W. Luo, and A. Ozcan, ”Field-Portable Pixel Super-Resolution Colour Microscope,” PLoS ONE (2013)

DOI:10.1371/journal.pone.0076475

Color_SR_PLoS_ONE_2013

: Z. Göröcs, Y. Ling, M. Dai Yu, D. Karahalios, K. Mogharabi, K. Lu, Q. Wei, and A. Ozcan, ”Giga-pixel fluorescent imaging over an ultra-large field-of-view using a flatbed scanner,” Lab on a Chip (2013)

DOI:10.1039/C3LC51005K

2013_Gigapixel_Scanner

: Q. Wei, H. Qi, W. Luo, D. Tseng, S. Jung Ki, Z. Wan, Z. Göröcs, L.A. Bentolila, T. Wu, Ren Sun, and A. Ozcan, ”Fluorescent Imaging of Single Nanoparticles and Viruses on a Smart-Phone,” ACS Nano (2013)

DOI:10.1021/nn4037706

2013_Fluorescent_Nanoparticles_Viruses

: A.F. Coskun, and A. Ozcan, ”Computational Imaging, Sensing and Diagnostics for Global Health Applications,” Current Opinion in Biotechnology (2013)

DOI:10.1016/j.copbio.2013.08.008

2013_Opinions_in_Biotech

: A.F. Coskun, R. Nagi, K. Sadeghi, S. Phillips, and A. Ozcan, ”Albumin testing in urine using a smart-phone,” Lab on a Chip (2013)

DOI:10.1039/C3LC50785H

Albumin_LabChip

: Y. Hennequin, C.P. Allier, E. McLeod, O. Mudanyali, D. Migliozzi, A. Ozcan, and J.-M. Dinten, ”Optical detection and sizing of single nano-particles using continuous wetting films,” ACS Nano (2013)

DOI:10.1021/nn403431y

2013_ACS_Nano

: I. Navruz, A.F. Coskun, J. Wong, S. Mohammad, D. Tseng, R. Nagi, S. Phillips, and A. Ozcan, ”Smart-phone based computational microscopy using multi-frame contact imaging on a fiber-optic array,” Lab on a Chip (2013)

DOI:10.1039/C3LC50589H

MultiFrame_Contact_Imaging

: A. Greenbaum, A. Feizi, N. Akbari, and A. Ozcan, ”Wide-field computational color imaging using pixel super-resolved on-chip microscopy,” Optics Express (2013)

DOI:10.1364/OE.21.012469

Color_SR

: A. Greenbaum, W. Luo, B. Khademhosseinieh, T-W. Su, A.F. Coskun, and A. Ozcan, ”Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy,” Scientific Reports (Nature Publishing Group) (2013)

DOI:10.1038/srep01717

Space-Bandwidth_2013

: Q. Wei, E. McLeod, H. Qi, Z. Wan, R. Sun, and A. Ozcan, ”On-Chip Cytometry using Plasmonic Nanoparticle Enhanced Lensfree Holography,” Scientific Reports (Nature Publishing Group) (2013)

DOI:10.1038/srep01699

On-Chip_Cytometry_Using_Plasmonic_Nanoparticles_2013

: K-W. Huang, T-W. Su, A. Ozcan, and P-Y. Chiou, ”Optoelectronic Tweezers Integrated with Lens-free Holographic Microscopy for Wide-field Interactive Cell and Particle Manipulation on a Chip,” Lab on a Chip (2013)

DOI:10.1039/C3LC50168J

Optoelectronic_Tweezers_2013

: T-W. Su, I. Choi, J. Feng, K. Huang, E. McLeod, and A. Ozcan, ”Sperm Trajectories Form Chiral Ribbons,” Scientific Reports (Nature Publishing Group) (2013)

DOI:10.1038/srep01664

Sperm_Chiral_Trajectories_2013

: H. Zhu, and A. Ozcan, ”Wide-field fluorescent microscopy and fluorescent imaging flow cytometry on a cell-phone,” Journal of Visualized Experiments (JoVE) (2013)

DOI:10.3791/50451

Fluorescent_Microscopy_2013

: E. McLeod, W. Luo, O. Mudanyali, A. Greenbaum, and A. Ozcan, ”Toward Giga-pixel Nanoscopy On a Chip: A computational wide-field look at the nano-scale without the use of lenses,” Lab on a Chip (2013)

DOI:10.1039/C3LC50222H

GigaPixel_LOC

: O. Mudanyali, E. McLeod, W. Luo, A. Greenbaum, A.F. Coskun, Y. Hennequin, C. Allier, and A. Ozcan, ”Wide-field optical detection of nano-particles using on-chip microscopy and self-assembled nano-lenses,” Nature Photonics (2013)

DOI:10.1038/NPHOTON.2012.337

NanoLens_UCLA

: H. Zhu, I. Sencan, J. Wong, S. Dimitrov, D. Tseng, K. Nagashima, and A. Ozcan, ”Cost-effective and Rapid Blood Analysis on a Cell-phone,” Lab on a Chip (2013)

DOI:10.1039/C3LC41408F

Zhu_Blood_Analysis

: J. Weidling, S.O. Isikman, A. Greenbaum, A. Ozcan, and E. Botvinick, ”Lensfree Computational Imaging of Capillary Morphogenesis within 3D Substrates,” Journal of Biomedical Optics (2012)

DOI:10.1117/1.JBO.17.12.126018

JBO_Web

: A.F. Coskun, J. Wong, D. Khodadadi, R. Nagi, A. Tey, and A. Ozcan, ”A personalized food allergen testing platform on a cellphone,” Lab on a Chip (2012)

DOI:10.1039/C2LC41152KPDF

Allergy_LOC_Figure

: S. Mavandadi, S. Feng, F. Yu, S. Dimitrov, K. Nielsen, W.R. Prescott, and A. Ozcan, ”A Mathematical Framework for Combining Decisions of Multiple Experts toward Accurate and Remote Diagnosis of Malaria Using Tele-Microscopy,” PLoS ONE (2012)

DOI:10.1371/journal.pone.0046192PDF

Ozcan_Group_PLoS_ONE_Multiple_Experts_Figure

: S. Mavandadi, S. Feng, F. Yu, S. Dimitrov, R. Yu, and A. Ozcan, ”BioGames: A Platform for Crowd-sourced Bio-Medical Image Analysis and Tele-Diagnosis,” Games for Health Journal (2012)

DOI:10.1089/g4h.2012.0054PDF

BioGames_Interface

: T-W. Su, L. Xue and A. Ozcan, ”High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories,” Proceedings of the National Academy of Sciences (PNAS) (2012)

DOI:10.1073/pnas.1212506109PDF

2012_PNAS_Sperm_Helical

: S.A. Arpali, C. Arpali, A.F. Coskun, H. Chiang, and A. Ozcan, ”High-throughput screening of large volumes of whole blood using structured illumination and fluorescent on-chip imaging,” Lab on a Chip (2012)

DOI:10.1039/C2LC40894EPDF

2012_Lab_Chip_Arpali

: S.O. Isikman, A. Greenbaum, W. Luo, A.F. Coskun, and A. Ozcan, ”Giga-Pixel Lensfree Holographic Microscopy and Tomography using Color Image Sensors,” PLoS ONE (2012)

DOI:10.1371/journal.pone.0045044PDF

PLoS_ONE_2012_Gigapixel

: H. Zhu, S.O. Isikman, O. Mudanyali, A. Greenbaum, and A. Ozcan, ”Optical Imaging Techniques for Point-of-care Diagnostics,” Lab on a Chip (2012)

DOI:10.1039/C2LC40864C – Invited Manuscript

loc_2012_oitpd

: A. Greenbaum, W. Luo, T-W. Su, Z. Göröcs, L. Xue, S.O. Isikman, A.F. Coskun, O. Mudanyali, and A. Ozcan, ”Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy,” Nature Methods (2012)

DOI:10.1038/nmeth.2114PDF

Nature_Methods_2012

: Z. Göröcs, and A. Ozcan, ”On-Chip Biomedical Imaging,” IEEE Reviews in Biomedical Engineering (2012)

DOI:10.1109/RBME.2012.2215847

ieee_review_onchip_imaging

: S. Mavandadi, S. Dimitrov, S. Feng, F. Yu, R. Yu, U. Sikora, and A. Ozcan, ”Crowd-sourced BioGames: Managing The Big Data Problem for Next-Generation Lab-on-a-Chip Platforms,” Lab on a Chip (2012)

DOI:10.1039/C2LC40614D

Map_August_2012

: S.O. Isikman, W. Bishara, and A. Ozcan, “Lensfree On-chip Tomographic Microscopy employing Multi-Angle Illumination and Pixel Super-Resolution,” Journal of Visualized Experiments (JoVE) (66), e4161 (2012)

DOI:10.3791/4161

jove_2012_tomography

: E. McLeod, and A. Ozcan, “Nanofabrication using near-field optical probes,” Journal of the Association for Laboratory Automation (JALA) (2012)

DOI:10.1177/2211068212450289 – Invited Manuscript

jala_figure_web

: S. Mavandadi, S. Dimitrov, S. Feng, F. Yu, U. Sikora, O. Yaglidere, S. Padmanabhan, K. Nielsen, and A. Ozcan, “Distributed Medical Image Analysis and Diagnosis through Crowd-Sourced Games: A Malaria Case Study,” PLoS ONE (2012)

DOI:10.1371/journal.pone.0037245

2012_malaria_game

: O. Mudanyali, S. Dimitrov, U. Sikora, S. Padmanabhan, I. Navruz, and A. Ozcan, “Integrated Rapid-Diagnostic-Test Reader Platform on a Cellphone,” Lab on a Chip (2012)

DOI:10.1039/C2LC40235A

2012_v1_ntext

: S.O. Isikman, A. Greenbaum, M. Lee, W. Bishara, O. Mudanyali, T. Su, and A. Ozcan, “Lensfree computational microscopy tools for cell and tissue imaging at the point-of-care and in low-resource settings,” Anal. Cell. Pathology, vol. 36, pp. 1-19 (2012)

DOI:10.3233/ACP-2012-0057

2012_lensfree-conv

: A. Greenbaum, U. Sikora, and A. Ozcan, “Field-portable wide-field microscopy of dense samples using multi-height pixel super-resolution based lensfree imaging,” Lab on a Chip (2012)

DOI:10.1039/C2LC21072J

2012_multi-z_sr_total_cover

: H. Zhu, U. Sikora, and A. Ozcan, “Quantum dot enabled detection of Escherichia coli using a cell-phone,” Analyst (2012)

DOI:10.1039/C2AN35071H

2012_sony_quantumdot

: A. Greenbaum, and A. Ozcan, “Maskless imaging of dense samples using pixel super-resolution based multi-height lensfree on-chip microscopy,” Optics Express (2012)

DOI:10.1364/OE.20.003129

2012papanicolaou

: S.B. Kim, H. Bae, K. Koo, M.R. Dokmeci, A. Ozcan, and A. Khademhosseini, “Lensfree Imaging for Biological Applications,” Journal of the Association for Laboratory Automation (JALA) (2012) – Cover Article

DOI:10.1177/2211068211426695

2012bioapps

: S.O. Isikman, W. Bishara, U. Sikora, O. Yaglidere, and A. Ozcan, “Multi-angle illumination with pixel super-resolution enables lensfree on-chip tomography,” SPIE Newsroom (2011)

DOI:10.1117/2.1201111.003979

2011tomomicro

: S.O. Isikman, W. Bishara and A. Ozcan, “Partially Coherent Lensfree Tomographic Microscopy,” Applied Optics (2011)

DOI:10.1364/AO.50.00H253

Lensfree_On-chip_Tomography_Text

: W. Bishara, S.O. Isikman, and A. Ozcan, “Lensfree Optofluidic Microscopy and Tomography,” Annals of Biomedical Engineering (ABME) (2011)

DOI:10.1007/s10439-011-0385-3

2011optofluidic-web

: M. Lee, O. Yaglidere, and A. Ozcan, “Field-portable reflection and transmission microscopy based on lensless holography,” Biomedical Optics Express (2011)

DOI:10.1364/BOE.2.002721

2011fieldportable-web

: O. Mudanyali, W. Bishara, and A. Ozcan, “Lensfree super-resolution holographic microscopy using wetting films on a chip,” Optics Express (2011)

DOI:10.1364/OE.19.017378

CoverArt

: A.F. Coskun, T. Su, I. Sencan, and A. Ozcan, “Lensless Fluorescent Microscopy on a Chip,” Journal of Visualized Experiments (JoVE) (2011)

DOI:10.3791/3181

Figure 1

: H. Zhu, S. Mavandadi, A.F. Coskun, O. Yaglidere, and A. Ozcan, “Optofluidic fluorescent imaging cytometry on a cell-phone,” Analytical Chemistry (2011)

DOI:10.1021/ac201587a

Analyst

: S.O. Isikman, W. Bishara, O. Mudanyali, I. Sencan, T. Su, D. Tseng, O. Yaglidere, U. Sikora, A. Ozcan, “Lensfree On-Chip Microscopy and Tomography for Bio-Medical Applications,” IEEE Journal of Selected Topics in Quantum Electronics (2011)

DOI:10.1109/JSTQE.2011.2161460

JSTQE_Web

: W. Bishara, U. Sikora, O. Mudanyali, T. Su, O. Yaglidere, S. Luckhart, and A. Ozcan, “Handheld and lensless microscope identifies malaria parasites,” SPIE Newsroom (2011)

DOI:10.1117/2.1201107.003812

Web_SPIE_2011_Ozcan

: G. Biener, A. Greenbaum, S.O. Isikman, K. Lee, D. Tseng and A. Ozcan, “Combined Reflection and Transmission Microscope for Telemedicine Applications in Field Settings,” Lab on a Chip (2011)

DOI:10.1039/C1LC20169G

Analyst

: S.O. Isikman, W. Bishara, H. Zhu, and A. Ozcan, “Opto-fluidic Tomography On a Chip,” Applied Physics Letters (2011)

DOI:10.1063/1.3548564

Analyst

: S.O. Isikman, W. Bishara, U. Sikora, O. Yaglidere, J. Yeah, and A. Ozcan, “Field-Portable Lensfree Tomographic Microscope,” Lab on a Chip (2011)

DOI:10.1039/C1LC20127A

Analyst

: S.O. Isikman, W. Bishara, S. Mavandadi, F.W. Yu, S. Feng, R. Lau and A. Ozcan, “Lensfree Optical Tomographic Microscope with a Large Imaging Volume on a Chip” PNAS (2011)

DOI:10.1073/pnas.1015638108

Analyst

: W. Bishara, U. Sikora, O. Mudanyali, T. Su, O. Yaglidere, S. Luckhart, and A. Ozcan, “Holographic pixel super-resolution in portable lensless on-chip microscopy using a fiber-optic array,” Lab on a Chip (2011)

DOI:10.1039/C0LC00684J

Analyst

: A.F. Coskun, I. Sencan, T. Su, and A. Ozcan, “Wide-field Lensless Fluorescent Microscopy Using a Tapered Fiber-optic Faceplate On a Chip,” Analyst (2011)

DOI:10.1039/C0AN00926A

Analyst

: A.F. Coskun, I. Sencan, T. Su, and A. Ozcan, “Lensfree Fluorescent On-Chip Imaging of Transgenic Caenorhabditis elegans Over an Ultra-Wide Field-of-View,” PLoS ONE (2011)

DOI:10.1371/journal.pone.0015955

PLoS ONE

: W. Bishara, H. Zhu, and A. Ozcan, “Holographic Opto-fluidic Microscopy,” Optics Express (2010)

Optics Express Link

Holographic Opto-fluidic Microscopy

: B. Khademhosseini, G. Biener, I. Sencan, T. Su, A.F. Coskun and A. Ozcan, “Lensfree Sensing on a Micro-fluidic Chip using Plasmonic Nano-apertures,” Applied Physics Letters (2010)

DOI:10.1063/1.3521390

Lensfree Sensing on a Micro-fluidic Chip using Plasmonic Nano-apertures

: H. Zhu, O. Yaglidere, T. Su, D. Tseng, and A. Ozcan, “Cost-effective and Compact Wide-field Fluorescent Imaging on a Cell-phone”, Lab on a Chip (2010)

DOI:10.1039/C0LC00358A

Cost-effective and Compact Wide-field Fluorescent Imaging on a Cell-phone”, Lab on a Chip

: B. Khademhosseini, G. Biener, I. Sencan, and A. Ozcan, “Lensfree Color Imaging On a Nano-structured Chip using Compressive Decoding,” Applied Physics Letters, 2010

DOI:10.1063/1.3521410

Lensfree Color Imaging On a Nano-structured Chip using Compressive Decoding

: A.F. Coskun, I. Sencan, T. Su, and A. Ozcan, “Lensfree Fluorescent On-Chip Imaging Over an Ultra-Wide Field-of-View using Compressive Sampling,” Special Issue of “Optics in 2010” Optics & Photonics News, December 2010

DOI:10.1364/OPN.21.12.000027

Lensfree Fluorescent On-Chip Imaging Over an Ultra-Wide Field-of-View using Compressive Sampling

: T. Su, A. Erlinger, D. Tseng, and A. Ozcan, “A Compact and Light-weight Automated Semen Analysis Platform using Lensfree On-Chip Microscopy” Analytical Chemistry (2010)

DOI: 10.1021/ac101845q

A Compact and Light-weight Automated Semen Analysis Platform using Lensfree On-Chip Microscopy

: O. Mudanyali, C. Oztoprak, D. Tseng, A. Erlinger, and A. Ozcan, “Detection of Waterborne Parasites using Field-portable and Cost-effective Lensfree Microscopy,” Lab on a Chip (2010)

DOI: 10.1039/c004829a

Detection of Waterborne Parasites using Field-portable and Cost-effective Lensfree Microscopy

: W. Bishara, T. Su, A.F. Coskun, and A. Ozcan, “Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution,” Optics Express Vol. 18, Issue 11, pp. 11181-11191 (2010)

DOI: 10.1364/OE.18.011181

Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution

: A.F. Coskun, I. Sencan, T. Su, and A. Ozcan, “Lensfree wide-field fluorescent imaging on a chip using compressive decoding of sparse objects,” Optics Express Vol. 18, Issue 10, pp. 10510-10523 (2010)

DOI: 10.1364/OE.18.010510

Lensfree wide-field fluorescent imaging on a chip using compressive decoding of sparse objects

: S. Seo, S.O. Isikman, I. Sencan, O. Mudanyali, T. Su, W. Bishara, A. Erlinger, A. Ozcan, “High-throughput Lensfree Blood Analysis On a Chip,” Analytical Chemistry (2010)

DOI: 10.1021/ac1007915

High-throughput Lensfree Blood Analysis On a Chip

: T. Su, S.O. Isikman, W. Bishara, D. Tseng, A. Erlinger and A. Ozcan, “Multi-angle lensless digital holography for depth resolved imaging on a chip,” Optics Express (2010)

DOI: 10.1364/OE.18.009690

Multi-angle lensless digital holography for depth resolved imaging on a chip

: B. Khademhosseini, I. Sencan, G. Biener, T. Su, A.F. Coskun, D. Tseng and A. Ozcan, “Lensfree On-chip Imaging using Nano-structured Surfaces,” Applied Physics Letters 96, 171106 (2010)

Selected for the Virtual Journal of Biological Physics Research. Highlighted in Nature Photonics.

DOI: 10.1364/OE.18.009690

Lensfree On-chip Imaging using Nano-structured Surfaces

: D. Tseng, O. Mudanyali, C. Oztoprak, S.O. Isikman, I. Sencan, O. Yaglidere and A. Ozcan, “Lensfree Microscopy on a Cell-phone,” Lab Chip (2010) – Cover Article

DOI: 10.1039/C003477K

Lensfree Microscopy on a Cell-phone

: O. Mudanyali, D. Tseng, C. Oh, S.O. Isikman, I. Sencan, W. Bishara, C. Oztoprak, S. Seo, B. Khademhosseini, and A. Ozcan, “Compact, Light-weight and Cost-effective Microscope based on Lensless Incoherent Holography for Telemedicine Applications,” Lab Chip (2010)

DOI: 10.1039/C000453G

Compact, Light-weight and Cost-effective Microscope based on Lensless Incoherent Holography for Telemedicine Applications

: G.Stybayeva, O. Mudanyali, S. Seo, J. Silangcruz, M. Macal, E. Ramanculov, S. Dandekar, A. Erlinger, A. Ozcan, A. Revzin, “Lensfree Holographic Imaging of Antibody Microarrays for High-Throughput Detection of Leukocyte Numbers and Function,” Analytical Chemistry (2010)

DOI: 10.1021/ac100142a

Lensfree Holographic Imaging of Antibody Microarrays for High-Throughput Detection of Leukocyte Numbers and Function

: S.O. Isikman, I. Sencan, O. Mudanyali, W. Bishara, C. Oztoprak and A. Ozcan, “Color and Monochrome Lensless On-chip Imaging of Caenorhabditis Elegans Over a Wide Field-of-View,” Lab Chip (2010)

DOI: 10.1039/C001200A

Color and Monochrome Lensless On-chip Imaging of Caenorhabditis Elegans Over a Wide Field-of-View

: C. Oh, S. O. Isikman, B. Khademhosseini and A. Ozcan, “On-chip differential interference contrast microscopy using lensless digital holography,” Optics Express, Vol. 18 Issue 5, 4717-4726 (2010)

Selected for the Virtual Journal for Biomedical Optics.

DOI: 10.1364/OE.18.004717

On-chip differential interference contrast microscopy using lensless digital holography

: A.F. Coskun, T. Su, and A. Ozcan, “Wide field-of-view lens-free fluorescent imaging on a chip,” Lab Chip (2010)

DOI: 10.1039/b926561a

Wide field-of-view lens-free fluorescent imaging on a chip

: A. Ozcan, S.O. Isikman, O. Mudanyali, D. Tseng, I. Sencan, “Lensfree on-chip holography facilitates novel microscopy applications,” SPIE Newsroom (2010)

DOI: 10.1117/2.1201005.002947

Lensfree on-chip holography facilitates novel microscopy applications

: A. Ozcan, “Smart Technology for Global Access to healthcare,” SPIE Newsroom (2010)

DOI: 10.1117/2.1201002.002568

Smart Technology for Global Access to healthcare

: O. Mudanyali, A. Erlinger, S. Seo, T. Su, D. Tseng, A. Ozcan, “Lensless On-chip Imaging of Cells Provides a New Tool for Cell-Biology and Diagnostics,” Journal of Visualized Experiments (JoVE) (2009)

DOI: 10.3791/1650

Lensless On-chip Imaging of Cells Provides a New Tool for Cell-Biology and Diagnostics

: S. Seo, T. Su, D.K. Tseng, A. Erlinger, and A. Ozcan, “Lensfree Holographic Imaging for On-Chip Cytometry and Diagnostics,” Lab Chip (2009)

DOI:10.1039/B813943A

Lensfree Holographic Imaging for On-Chip Cytometry and Diagnostics

: Ting-wei Su, Sungkyu Seo, Anthony Erlinger, Derek Tseng, and Aydogan Ozcan, “Towards Wireless Health: Lensless On-Chip Cytometry,” Optics and Photonics News, Vol. 19, Issue 12, pp. 24-24 (2008)

DOI:10.1364/OPN.19.12.000024

Towards Wireless Health: Lensless On-Chip Cytometry

: T. Su, S. Seo, A. Erlinger, D. Tseng and A. Ozcan, “Lensfree on-chip cytometry towards wireless health,” IEEE LEOS Newsletter, October 2008

Cover Article

Lensfree on-chip cytometry towards wireless health

: T. Su, S. Seo, A. Erlinger, and A. Ozcan, “Multi-color LUCAS: Lensfree on-chip cytometry using tunable monochromatic illumination and digital noise reduction,” Cellular and Molecular Bioengineering (2008)

DOI:10.1007/s12195-008-0018-6

Outstanding Paper Award – PRESS RELEASEIN THE NEWS

Multi-color LUCAS: Lensfree on-chip cytometry using tunable monochromatic illumination and digital noise reduction

: T. Su, S. Seo, A. Erlinger, and A. Ozcan, “High-throughput Imaging and Characterization of a Heterogeneous Cell Solution On a Chip,” Biotechnology and Bioengineering (2008)

DOI:10.1002/bit.22116

Highlighted in the Spotlight Feature of the Journal.

High-throughput Imaging and Characterization of a Heterogeneous Cell Solution On a Chip

: A. Bilenca, J. Cao. M. Colice, A. Ozcan, B.E. Bouma, L. Raftery, G.J. Tearney, “Fluorescence Interferometry: Principles and Applications in Biology,” Ann. N.Y. Acad. Sci. 1130: 68–77 (2008)

DOI: 10.1196/annals.1430.038

Fluorescence Interferometry: Principles and Applications in Biology

: A. Ozcan, and U. Demirci, “Ultra wide-field lens-free monitoring of cells on-chip,” Lab Chip (2007)

DOI: 10.1039/b713695a

Ultra wide-field lens-free monitoring of cells on-chip

: A. Ozcan, E. Cubukcu, B.E. Bouma, F. Capasso, G.J. Tearney, “Differential Near-field Scanning Optical Microscopy using Sensor Arrays,” IEEE Journal of Selected Topics in Quantum Electronics 13, 1721 (2007)

(Invited)

DOI: 10.1109/JSTQE.2007.910799

Differential Near-field Scanning Optical Microscopy using Sensor Arrays

: A. Ozcan, A. Bilenca, A.E. Desjardin, B. E. Bouma, G. J. Tearney, “A study of speckle reduction in optical coherence tomography images using digital filtering,” Journal of Optical Society of America, A 24, 1901 (2007)

DOI: 10.1364/JOSAA.24.001901

speckle reduction in optical coherence tomography images using digital filtering

: A. Bilenca, T. Lasser, A. Ozcan, R. Leitgeb, B. E. Bouma, G. J. Tearney, “Image formation in fluorescence coherence-gated imaging through scattering media,” Optics Express 15, 2810 (2007)

DOI: 10.1364/OE.15.002810

Image formation in fluorescence coherence-gated imaging through scattering media

: A. Ozcan, E. Cubukcu, A. Bilenca, K.B. Crozier, B.E. Bouma, F. Capasso, and G.J. Tearney, “Differential Near-field scanning optical microscopy,” Nano Letters 6, 2609 (2006)

DOI: 10.1021/nl062110v

Differential Near-field scanning optical microscopy

: A. Ozcan and U. Demirci, “Rewritable self-assembled long-period gratings in photonic bandgap fibers using microparticles,” Optics Communications 270, 225 (2007)

(published online 10/2006)

DOI: 10.1016/j.optcom.2006.09.032

Rewritable self-assembled long-period gratings in photonic bandgap fibers using microparticles

: A. Ozcan, A. Bilenca, B. E. Bouma, G. J. Tearney, “Mirror tunnel microscope,” Applied Physics Letters 89, 131124 (2006)

DOI: 10.1063/1.2356321

Mirror tunnel microscope

: A. Ozcan, A. Tewary, M. J. F. Digonnet, and G. S. Kino, “Observation of mode coupling in bitapered air-core fibers,” Optics Communications 271, 391 (2007)

(published online 11/2006)

DOI: 10.1016/j.optcom.2006.10.039

Observation of mode coupling in bitapered air-core fibers

: A. Bilenca, A. Ozcan, B. E. Bouma, G. J. Tearney, “Fluorescence coherence tomography,” Optics Express 14, 7134-7143 (2006)

Selected to appear in The Virtual Journal for Biomedical Optics, Vol. 1, Issue 9, 2006.

Also highlighted in a research story in the Biophotonics International Magazine, October 2006.

DOI: 10.1364/OE.14.007134

Fluorescence coherence tomography

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Quasi-phase-matched grating characterization using minimum-phase functions,” Optics Communications 269, 199

(published online 8/2006)

DOI: 10.1016/j.optcom.2006.07.047

Quasi-phase-matched grating characterization using minimum-phase functions

: A. Ozcan, “Characterization of nonlinear thin films using logarithmic Hilbert transform,” Electronics Letters 42, 647-648 (2006)

DOI: 10.1049/iel:20060672

Characterization of nonlinear thin films using logarithmic Hilbert transform

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, ” Minimum-phase function based processing in frequency-domain optical coherence tomography systems,” Journal of Optical Society of America, A 23, 1669-1677 (2006)

Selected to appear in The Virtual Journal for Biomedical Optics, Vol. 1, Issue 8, 2006

DOI: 10.1364/JOSAA.23.001669

Minimum-phase function based processing in frequency-domain optical coherence tomography systems

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Characterization of fiber Bragg gratings using spectral interferometry based on minimum-phase functions,” IEEE Journal of Lightwave Technology 24, 1739-1757 (2006)

DOI: 10.1109/JLT.2006.871111

Characterization of fiber Bragg gratings using spectral interferometry based on minimum-phase functions

: A. Ozcan, M. J. F. Digonnet, L. Lablonde, D. Pureur and G. S. Kino, “A new iterative technique to characterize and design transmission fiber Bragg gratings,” IEEE Journal of Lightwave Technology 24, 1913-1921 (2006)

DOI: 10.1109/JLT.2006.871112

A new iterative technique to characterize and design transmission fiber Bragg gratings

: U. Demirci, and A. Ozcan, “Picolitre acoustic droplet ejection by femtosecond laser micromachined multiple-orifice membrane-based 2D ejector arrays,” Electronics Letters 41, 1219-1220 (2005)

DOI: 10.1049/el:20053208

Picolitre acoustic droplet ejection by femtosecond laser micromachined multiple-orifice membrane-based 2D ejector arrays

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Detailed analysis of inverse Fourier transform techniques to uniquely infer second-order nonlinearity profile of thin films,” Journal of Applied Physics 97, 013502 (2005)

DOI: 10.1063/1.1826216

Detailed analysis of inverse Fourier transform techniques to uniquely infer second-order nonlinearity profile of thin films

: A. Ozcan, M. J. F. Digonnet, G. S. Kino, F. Ay, and A. Aydinli, “Characterization of thermally poled germanosilicate thin films,” Optics Express 12, 4698-4708 (2004)

DOI: 10.1364/OPEX.12.004698

Characterization of thermally poled germanosilicate thin films

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Group delay recovery using iterative processing of amplitude of transmission spectra of fibre Bragg gratings,” Electronics Letters 40, 1104-1105 (2004)

DOI: 10.1049/el:20046001

Group delay recovery using iterative processing of amplitude of transmission spectra of fibre Bragg gratings

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Iterative processing of second-order optical nonlinearity depth profiles,” Optics Express 12, 3367-3376 (2004)

DOI: 10.1364/OPEX.12.003367

Iterative processing of second-order optical nonlinearity depth profiles

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Simplified inverse Fourier transform technique to measure optical nonlinearity profiles using reference sample,” Electronics Letters 40, 551-552 (2004)

DOI: 10.1049/el:20040361

Simplified inverse Fourier transform technique to measure optical nonlinearity profiles using reference sample

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Improved technique to determine second-order optical nonlinearity profiles using two different samples,” Appl. Phys. Lett. 84, 681-683 (2004)

DOI: 10.1063/1.1644622

Improved technique to determine second-order optical nonlinearity profiles using two different samples

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Cylinder-assisted Maker fringe technique,” Electronics Letters 39, 1834-1835 (2003)

DOI: 10.1049/el:20031159

Cylinder-assisted Maker fringe technique

: A. Ozcan, M. J. F. Digonnet, and G. S. Kino, “Inverse Fourier Transform technique to determine second-order optical nonlinearity spatial profiles,” Appl. Phys. Lett. 82, 1362-1364 (2003)

DOI: 10.1063/1.1557789

Inverse Fourier Transform technique to determine second-order optical nonlinearity spatial profiles
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