Aydogan Ozcan

Aydogan Ozcan

CHANCELLOR’S PROFESSOR
ELECTRICAL AND COMPUTER ENGINEERING
BIOENGINEERING

HHMI Professor

68-119 Engr. IV

Email:
Phone: (310) 825-0915

Websites

RESEARCH AND INTERESTS
Computational Imaging, Deep Learning Optics, Diffractive Neural Networks, Optical Computing, Microscopy, Holography, Sensing and Diagnostics, Biophotonics, Mobile Health, Telemedicine, Global Health
NOTABLE PUBLICATIONS
  • O. Kulce, D. Mengu, Y. Rivenson and A. Ozcan, “All-Optical Information Processing Capacity of Diffractive Surfaces,” Light: Science & Applications (Nature Publishing Group) DOI: 10.1038/s41377-020-00439-9 (2021)
  • 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 DOI: 10.1021/acsnano.1c00079 (2021)
  • K. Trofymchuk, et al., “Addressable Nanoantennas with Cleared Hotspots for Single-Molecule Detection on a Portable Smartphone Microscope,” Nature Communications DOI: 10.1038/s41467-021-21238-9 (2021)
  • 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 DOI: 10.1038/s41467-020-20268-z (2021)
  • S. Rahman, J. Li, D. Mengu, Yair Rivenson, and A. Ozcan, “Ensemble learning of diffractive optical networks,” Light: Science & Applications (Nature Publishing Group) DOI: 10.1038/s41377-020-00446-w (2021)
  • 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 DOI:10.1038/s41586-020-2973-6 (2020)
  • 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 DOI: 10.1038/s41467-019-13802-1 (2020)
  • K. de Haan, Y. Rivenson, Y. Wu, and A. Ozcan, “Deep learning-based image reconstruction and enhancement in optical microscopy,” Proceedings of the IEEE DOI: 10.1109/JPROC.2019.2949575 (2019)
  • 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 DOI: 10.1038/s41592-019-0622-5 (2019)
  • D. Mengu, Y. Luo, Y. Rivenson, and A. Ozcan, “Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks,” IEEE Journal of Selected Topics in Quantum Electronics  DOI: 10.1109/JSTQE.2019.2921376  (2019)
  • 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 DOI: 10.1038/s41551-019-0362-y (2019)
  • 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) DOI: 10.1038/s41377-019-0129-y (2019)
  • Wang, Y. Rivenson, Y. Jin, Z. Wei, R. Gao, H. Günaydın, L.A. Bentolila, C. Kural, and A. Ozcan, “Deep learning enables cross-modality super-resolution in fluorescence microscopy,” Nature Methods DOI: 10.1038/s41592-018-0239-0 (2018)
  • Ballard, and A. Ozcan, “Nucleic acid quantification in the field,” Nature Biomedical Engineering DOI: 10.1038/s41551-018-0292-0  (2018)
  • 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) DOI: 10.1038/s41377-018-0067-0 (2018)
  • 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 DOI: 10.1126/science.aat8084 (2018)
  • Wu, Y. Rivenson, Y. Zhang, Z. Wei, H. Gunaydin, X. Lin, and A. Ozcan, “Extended depth-of-field in holographic imaging using deep learning based auto-focusing and phase-recovery,” Optica DOI: 10.1364/OPTICA.5.000704 (2018)
  • Rivenson, H.C. Koydemir, H. Wang, Z. Wei, Z. Ren, H. Gunaydin, Y. Zhang, Z. Gorocs, K. Liang, D. Tseng and A. Ozcan, “Deep learning enhanced mobile-phone microscopy,” ACS Photonics DOI: 10.1021/acsphotonics.8b00146 (2018)
  • Veli, and A. Ozcan, “Computational Sensing of Staphylococcus aureus on Contact Lenses using 3D Imaging of Curved Surfaces and Machine Learning,” ACS Nano DOI: 10.1021/acsnano.7b08375 (2018)
  • Rivenson, Z. Gorocs, H. Gunaydin, Y. Zhang, H. Wang, and A. Ozcan, “Deep Learning Microscopy,” Optica DOI: 10.1364/OPTICA.4.001437 (2017)
  • 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) DOI: 10.1038/lsa.2017.141 (2017)
  • 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) DOI: 10.1038/lsa.2017.121 (2017) - Cover Article
  • 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) DOI:10.1073/pnas.1703200114 (2017)
  • 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) DOI: 10.1126/sciadv.1700553 (2017)
  • 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) DOI: 10.1038/lsa.2017.46 (2017)
  • 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 DOI: 10.1021/acsnano.6b08274 (2017)
  • 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, DOI: 10.1021/acsnano.7b00105 (2017)
  • 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 DOI: 10.1038/NCOMMS13913 (2017)
  • 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 DOI: 10.1021/acsnano.6b05129 (2016)
  • McLeod and A. Ozcan, “Unconventional methods of imaging: computational microscopy and compact implementations,” Reports on Progress in Physics DOI:10.1088/0034-4885/79/7/076001 (2016)
  • A. Ozcan and E. McLeod, “Lensless Imaging and Sensing,” The Annual Review of Biomedical Engineering DOI: 10.1146/annurev-bioeng-092515-010849 (2016)
  • Luo, Y. Zhang, A. Feizi, Z. Gorocs, and A. Ozcan, “Pixel super-resolution using wavelength scanning,” Light: Science & Applications (Nature Publishing Group) DOI: 10.1038/lsa.2016.60 (2015)
  • 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 DOI: 10.1021/acsnano.5b03203 (2015)
  • 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 DOI: 10.1021/acsnano.5b00388 (2015)
  • Cortazar, H.C. Koydemir, D. Tseng, S. Feng and A. Ozcan, “Quantification of Plant Chlorophyll Content Using Google Glass,” Lab on a Chip DOI: 10.1039/C4LC01279H (2015)
  • Luo, A. Greenbaum, Y. Zhang, and A. Ozcan, “Synthetic aperture based on-chip microscopy,” Light: Science & Applications (Nature Publishing Group) DOI: 10.1038/lsa.2015.34 (2015)
  • 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) DOI: 10.1126/scitranslmed.3009850 (2014)
  • 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  DOI: 10.1038/NPHOTON.2012.337  (2013)
  • 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 DOI:10.1021/nn4037706 (2013)
  • 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  DOI:10.1038/nmeth.2114 (2012)
  • 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,” DOI: 10.1073/pnas.1015638108 Proceedings of the National Academy of Sciences (PNAS) (2011)
  • 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  DOI: 10.1021/nn505821y (2014)
  • 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  DOI: 10.1021/nn406571t (2014)
  • S. Feng, R. Caire, B. Cortazar, M. Turan, A. Wong, and A. Ozcan, “Immunochromatographic Diagnostic Test Analysis using Google Glass,” ACS Nano  DOI:10.1021/nn500614k (2014)
  • 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 DOI:10.1039/C3LC50222H (2013)
  • 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) DOI: 10.1073/pnas.1212506109 (2012)
IN THE NEWS
AWARDS AND RECOGNITION
  • 2020, Highly Cited Researcher, Web of Science, Clarivate
  • 2020, Researcher of the Year Award, The Southern California Biomedical Council (SoCalBio)
  • 2019, Fellow, American Physical Society (APS)
  • 2019, Volgenau Chair for Engineering Innovation, UCLA
  • 2019, UCLA Health Innovation, Med-Tech Challenge Winner
  • 2018, Fellow, National Academy of Inventors
  • 2018, Fellow, AAAS
  • 2018, The Stillman Lecture, University of Illinois, Urbana-Champaign
  • 2018, TASSA President’s Service Award, TASSA
  • 2017, Biocom Life Science Catalyst Award
  • 2017, Guggenheim Fellow, The John Simon Guggenheim Memorial Foundation
  • 2017, Fellow, The Royal Society of Chemistry (RSC)
  • 2017, Fellow, American Institute for Medical and Biological Engineering (AIMBE)
  • 2017, Fellow, IEEE – Institute of Electrical and Electronics Engineers
  • 2016, Rahmi M. Koç Science Medal, Koç University & Vehbi Koç Foundation {Inaugural Recipient}
  • 2016, U.S. National Academy of Engineering (NAE), EU-US Frontiers of Engineering Symposium – Committee Member, Session Chair
  • 2016, Mary Kay Foundation, Cancer Research Award
  • 2016, Ernst Abbe Lecture and Award, Carl Zeiss Foundation
  • 2016, Vodafone Americas Foundation, Wireless Innovation Award
  • 2016, IEEE Photonics Society Distinguished Lecturer Award
  • 2016, U.S. National Academy of Sciences, Arab-American Frontiers of Science Fellowship
  • 2015, ICO Prize, International Commission for Optics
  • 2015, The World Economic Forum, Technology Pioneers List
  • 2015, Postdoctoral Scholars Mentoring Award, UCLA
  • 2015, The White House Office of Science and Technology Policy, Microbiome Workshop, Invited Participant/Panelist
  • 2015, Microscopy Today, Innovation Award
  • 2015, The Kavli Foundation, Kavli Futures Symposium on Microbiome, Invited Participant/Panelist
  • 2014, HHMI Professor, Howard Hughes Medical Institute
  • 2014, The Optical Society (OSA) Fellow
  • 2014, National Academy of Engineering (NAE), Japan-America Frontiers of Engineering Symposium – Invited Participant
  • 2013, Microscopy Today Innovation Award
  • 2013, Selected Among 10 Breakthrough Technologies of The Year JALA Ten (presented by Journal of Laboratory Automation),
  • 2013, UCLA Chancellor.s Professorship
  • 2013, Fellow, SPIE
  • 2013, SPIE Biophotonics Technology Innovator Award .for his seminal contributions to computational imaging, sensing and bio-photonics technologies impacting telemedicine and global health challenges..
  • 2012, IEEE NANOMED Conference, Best Paper Award, 2012
  • 2012, National Academy of Engineering (NAE), The Grainger Foundation Frontiers of Engineering Award
  • 2012, World Technology Award on Health & Medicine, presented by the World Technology Network in association with TIME, CNN, AAAS, Science, Technology Review, Fortune and Kurzweil
  • 2012, Popular Science, Brilliant 10 Award
  • 2011, The Scientist, Top Innovation of the Year
  • 2011, SPIE Early Career Achievement Award in recognition of his pioneering contributions to non-destructive nonlinear material characterization techniques, nearfield and on-chip imaging and diagnostic systems.
  • 2011, Rockefeller Foundation and mHealth Alliance, Innovators Challenge Winner
  • 2011, Regional Health Care Innovation Challenge Award, The von Liebig Center, UCSD
  • 2011, Presidential Early Career Award for Scientists and Engineers (PECASE)
  • 2011, National Academy of Engineering (NAE), U.S. Frontiers of Engineering Symposium – Invited Participant
  • 2011, Innovation Competition Award, World Reconstruction Conference, Geneva
  • 2011, Army Research Office (ARO), Young Investigator Award
  • 2010, Popular Mechanics Breakthrough Award
  • 2010, PopTech Science and Public Leaders Fellowship
  • 2010, NSF CAREER Award
  • 2010, Netexplorateur Award, Netexplorateur Observatory and Forum, France
  • 2010, National Geographic Emerging Explorer Award
  • 2010, LAUNCH Health Innovation Award, presented by NASA, USAID, Department of State, and NIKE
  • 2010, Bill & Melinda Gates Foundation, Grand Challenges Explorations Award
  • 2009, Vodafone Americas Foundation, Wireless Innovation Award
  • 2009, Office of Naval Research (ONR), Young Investigator Award
  • 2009, NIH Director.s New Innovator Award
  • 2009, MIT.s Technology Review Magazine, TR 35 Award
  • 2009, IEEE LEOS Young Investigator Award for his pioneering contributions to non destructive nonlinear material characterization techniques, near-field and on-chip imaging and diagnostic systems.
  • 2008, Outstanding paper award, Annual Meeting of Biomedical Engineering Society (BMES), 2008
  • 2008, Okawa Foundation Award, Japan
  • 2006, Outstanding paper award, Gordon Research Conference, Lasers in Medicine and Biology
PROFESSIONAL AFFILIATIONS
  • Fellow, American Physical Society (APS), 2019
  • Fellow, The National Academy of Inventors (NAI), 2018
  • Fellow, The American Association for the Advancement of Science (AAAS), 2018
  • Fellow, The Royal Society of Chemistry (RSC), 2017
  • Fellow, IEEE – Institute of Electrical and Electronics Engineers, 2017
  • Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2017
  • Fellow, Optical Society of America (OSA), 2014
  • Fellow, The International Society for Optical Engineering (SPIE), 2013