Computational Imaging, Deep Learning Optics, Diffractive Neural Networks, Optical Computing, Microscopy, Holography, Sensing and Diagnostics, Biophotonics, Mobile Health, Telemedicine, Global Health

• 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)

• SPIE | Deep learning: A Powerful Tool for Biophotonics in Labs and Clinics, March 2023
• IEEE Spectrum | Optical AI Could Feed Voracious Data Needs, January 2023
• Phys.org | Deep learning-designed diffractice processor computes hundreds of transformations in parallel, January 2023
• TechXplore | AI-designed Structured Material Creates Super-resolution Images Using a Low-resolution Display, December 2022
• Nature | Five Ways Deep Learning Has Transformed Image Analysis, September 2022
• KCBS Radio | UCLA's 'Ultra Secure' AI Camera Only Records What It's Programmed for, September 2022
• Phys.org | Chemical-free Re-staining of Tissue Using Deep Learning, August 2022
• New Scientist | AI-created Lenses Let Camera Ignore Some Objects When Taking Pictures, August 2022
• Space Ref | NASA Engineer’s Quantum Dot Instrument Enables Spacecraft-as-Sensor Concept, August 2022
• Yahoo Finanças | Smart, 3D-printed Camera Can Record Only What Matters, August 2022
• New Scientist | AI-created Lenses Let Camera Ignore Some Objects When Taking Pictures, August 2022
• Tech and Science Post | Superior Phase Recovery and Hologram Reconstruction Using a Deep Neural Network, August 2022
• AZO Optics | Smart Camera Records Desired Objects While Erasing Others, August 2022
• News8Plus | Superior Phase Recovery and Hologram Reconstruction Using a Deep Neural Network, August 2022
• Tech Xplore | Superior Phase Recovery and Hologram Reconstruction Using a Deep Neural Network, August 2022
• Inverse | This High-Tech Camera May Help Protect Our Identities — Here's How it Works, August 2022
• News Azi | AI-designed Camera Only Records Objects of Interest While Being Blind to Others, August 2022
• News Update (UK) | Deep Learning Accelerates The Detection Of Live Bacteria Using Thin-Film Transistor Arrays, July 2022
• Tech Xplore | Deep Learning Accelerates the Detection of Live Bacteria Using Thin-film Transistor Arrays, 7/2022
• News8 Plus | Deep Learning Accelerates the Detection of Live Bacteria Using Thin-film Transistor Arrays, 7/2022
• Phys Org, All-optical computation of a group of transformations using a polarization-encoded diffractive network, 5/2022
• SPIE, Next-gen imaging takes pictures that speak a million pixels, 3/2022
• Science X, Aydogan Ozcan receives the 2022 Joseph Fraunhofer Award and Robert M. Burley Prize, 3/2022
• Photonics.com, Histology Process Bypasses Need for Biopsies, Enables Diagnoses, 11/2021
• Daily Bruin, Researchers at UCLA Develop Computer-Free Technology for Deciphering Holograms, 11/2021
• Healthcare-in-europe.com, ‘Virtual histology’ may reduce need for skin biopsies, 11/2021
• Optics.org, UCLA deep-learning reduces need for invasive biopsies, 11/2021
• Science Daily, New imaging technology may reduce need for skin biopsies, 11/2021
• Becker's Hospital Review, UCLA hopes to usher in digital dermatology with new AI application, 11/2021
• Physics World, All-optical processors could compute any linear transformation, machine learning reveals, 10/2021
• Phys Org, Light computes any desired linear transform without a digital processor, 9/2021
• Florida News Times, Light computes any linear transformation without a digital processor, 9/2021
• AI in Healthcare, AI enables much faster pathology for life-or-death interventions, 8/2021
• Phys Org, Deep learning improves image reconstruction in optical coherence tomography using less data, 7/2021
• Phys Org, Rapid measurement of aerosol volatility using a deep learning-based portable microscope, 6/2021
• Wired, “This Chip for AI Works Usig Light, Not Electrons,” 3/2021
• Laser Focus World, “Deep learning enables single-shot autofocus in microscopy applications,” 2/2021
• OSA Optics & Photonics News (OPN), “Shaping Light Pulses with Deep Learning” 2/2021
• BioPhotonics, UCLA researchers create low-cost, AI-powered device to measure optical spectra 2/2021
• Nature Photonics, “Machine learning with light” 1/2021
• Microscopy & Analysis, “'Deep-R' delivers single-shot autofocusing” 1/2021
• Tech Xplore, Diffractive networks improve optical image classification accuracy | 1/2021
• Phys Org, Optical network shapes pulses of light 1/2021
• Photonics Media, “Deep Learning-Designed Network Shapes Light Pulse” 1/2021
• UCLA Newsroom, “37 UCLA scientists among world’s most influential researchers” 11/2020
• Nature Methods, “Smart solutions for automated imaging,” 10/2020
• Photonics Media, “Portable Microscopy Leverages Advancements in Electronics and Computing,” 9/2020
• SPIE News, “What’s in your water?,” 9/2020
• Biophotonics World, “Deep learning enables early detection and classification of live bacteria using holography,” 7/2020
• Nature Photonics, “Machine intelligence lights up imaging,” 4/2020
• SPIE News, “Artificial Intelligence Set to Assist Doctors in Low-resource Settings,” 3/2020
• Communications of the ACM (Association for Computing Machinery), “Optical System Could Lead to Devices That Can Recognize Objects Instantly,” 3/2020
• Photonics Spectra, “Advancements in Holography Usher In Sci-Fi-Inspired Devices,” 1/2020
• Org, “Paper-based test could diagnose Lyme disease at early stages,” 12/2019
• Photonics Media, “Ozcan Labs, UCLA Publish Method on Machine Learning Using Continuum of Wavelengths,” 12/2019
• Microscopy and Analysis, “Artificial Intelligence converts 2D images into 3D,” 11/2019
• Org, “Researchers convert 2-D images into 3-D using deep learning,” 11/2019
• Daily Bruin, “UCLA researchers develop prototype to more efficiently detect rare cells in blood,” 10/2019
• Org, “AI-based cytometer detects rare cells in blood using magnetic modulation and deep learning,” 10/2019
• Photonics Media, “Lens-Free Microscopy Focuses on Commercialization,” 9/2019
• Science Daily, “Optical neural network could lead to intelligent cameras,” 8/2019
• Laser Focus World, “With new differential detection scheme, all-optical diffractive neural networks get performance boost,” 8/2019
• Photonics Spectra, “Wearable Sensors Challenge Traditional Medical Technology,” 8/2019
• Nature Biomedical Engineering, “Computational staining of unlabelled tissue,” 6/2019
• Voice of America, “Sneezing a Lot? Handheld Allergen Detector Can Help,” 5/2019
• Photonics Media, “Computational Imaging Builds Better Pictures,” 5/2019
• SPIE News, “Mission Possible: Deep neural nets transform diagnostic imaging,” 5/2019
• The New York Academy of Sciences Magazine, “The Cutting Edge: There’s An App For That,” 5/2019
• The Scientist, “Artificial Intelligence Sees More in Microscopy than Humans Do,” 5/2019
• NVIDIA Blog, “Springing into Deep Learning: How AI Could Track Allergens on Every Block,” 5/2019
• Org, “Deep learning merges advantages of holography and bright-field microscopy for 3-D imaging,” 3/2019
• Daily Bruin, “UCLA researchers develop smartphone-based microscope to detect lethal bee parasites,” 2/2019
• Org, “Mobile-phone microscope detects the 'silent killer' of honey bees,” 1/2019
• Org, “Artificial intelligence detects the presence of viruses,” 1/2019
• Microscopy & Analysis, “Artificial intelligence transforms resolution,” 12/2018
• Photonics Media, “Mobile Device Detects Parasitic Infections Quickly Using Holographic Analysis and Deep Learning,” 12/2018
• Org, “Deep learning democratizes nano-scale imaging,” 12/2018
• R&D Magazine, “Detection Device Identifies Parasitic Infections Faster, with More Sensitivity,” 12/2018
• Daily Bruin, “Innovation in microscopes lets UCLA lab make new findings about sperm movement,” 11/2018
• Photonics Spectra, “All-optical diffractive deep neural network is 3D-printed at UCLA,” 10/2018
• Lab Manager, “Improved Air-Quality Sensors and Collaborations Could Save Lives,” 10/2018
• New Atlas, “Portable device gets the drop on toxic algae,” 10/2018
• Daily Bruin, “UCLA researchers developing improved device for detecting dangerous algal blooms,” 9/2018
• Org, “Mobile device could make it easier to predict and control harmful algal blooms,” 9/2018
• com, “3D Printing Aids Development of Mobile Phone-Based Medical Devices,” 9/2018
• The Scientist, “AI Object Recognition System Operates at Speed of Light,” 7/2018
• Discover Magazine, “This AI Calculates at the Speed of Light,” 7/2018
• TechCrunch, “This 3D-printed AI construct analyzes by bending light,” 7/2018
• CNBC, “NOW Diagnostics Acquires CELLMIC Reader Technology,” 7/2018
• ASME (The American Society of Mechanical Engineers), “Breathe Easy with a Better Portable Air Monitor,” 6/2018
• Microscopy & Analysis, “Deep learning accelerates holographic imaging,” 6/2018
• Firehouse Magazine, “Fire Technology: The Future of Wearable Technology,” 6/2018
• Org, “Deep learning extends imaging depth and speeds up hologram reconstruction,” 5/2018
• Photonics Media, “Cellmic Patent Aims to Grow Leti Portfolio,” 5/2018
• Science Daily, “Deep learning transforms smartphone microscopes into laboratory-grade devices,” 4/2018
• Laser Focus World, “Microscopy: Deep learning improves microscopy images-without system adjustments,” 1/2018
• Communications of the ACM (Association for Computing Machinery), “Smartphone Science,” 1/2018
• Engineering for Change, “A Better Portable Air Quality Monitor,” 12/2017
• Science Discoveries, “Detecting waterborne pathogen using a smartphone-based microscope,” 12/2017
• BioOptics World, “Deep learning method could improve optical microscopy,” 12/2017
• OSA Optics & Photonics News (OPN), “Imaging Dives Into Deep Learning,” 11/2017
• Photonics Media “Holographic Technique Uses Deep Learning to Increase Accuracy, Improve Microscopy,” 11/2017
• Association for Computing Machinery (ACM) TechNews, “UCLA Engineers Use Deep Learning to Reconstruct Holograms and Improve Optical Microscopy,” 11/2017
• IEEE GlobalSpec, Engineering 360, “Deep Learning for Diagnostic Medicine,” 11/2017
• Microscopy and Analysis, “Neural network boosts optical resolution,” 11/2017
• Org, “Deep learning reconstructs holograms,” 10/2017
• DarkDaily, “UCLA’s Ozcan Labs Develops Portable Smartphone DNA Detection System That Performs as well as Clinical Laboratory Testing,” 10/2017
• BioOptics World, “Holographic microscope tracks sperm motion in 3D,” 9/2017
• The Pathologist, “No Lens, No Problem,” 9/2017
• UCLA Newsroom, “Consortium links experts in engineering, medicine to improve health in underserved communities,” 9/2017
• International Business Times, “UCLA's holographic microscope enables scientists to study spinning head of sperm in 3D,” 9/2017
• The Scientist, “Microscopy Tool Can “See” Through Dense Tissue: Study,” 8/2017
• Org, “Hologram technology could lead to improved diagnoses of chronic diseases in remote areas,” 8/2017
• Microscopy and Analysis, “Breakthrough for smartphone microscopy,” 5/2017
• Association for Computing Machinery (ACM) TechNews, “Mobile Device Can Accurately and Inexpensively Monitor Air Quality Using Machine Learning,” 5/2017
• Org, “Holographic microscope provides a new tool for nanomedicine to rapidly measure degradation of drug loaded nanoparticles,” 5/2017
• IEEE GlobalSpec, Engineering 360, “Mobile Device Measures Air Quality,” 5/2017
• Org, “Mobile device can accurately and inexpensively monitor air quality using machine learning,” 5/2017
• Nature, “Pocket Laboratories,” 5/2017
• Dark Daily, “UCLA Device Enables Diagnosis of Antimicrobial Resistance in Any Setting,” 4/2017
• The Pathologist, “Mobile Phone Microscopy,” 3/2017
• Clarivate Analytics, “Aydogan Ozcan’s research ‘vision’ helps put UC at the forefront of innovation,” 3/2017
• BioOptics World, “Smartphone method makes DNA biomarker detection portable and low-cost,” 3/2017
• BioOptics World, “Machine learning enhances smartphone attachment for disease detection,” 3/2017
• Org, “Smart mobile tool may be used to diagnose and treat serious diseases,” 2/2017
• OSA Optics & Photonics News (OPN), “Smartphone-Enabled Molecular Diagnostics,” 2/2017
• Newsweek, “Cell phone case detects cancer-related DNA mutations,” 1/2017
• BBC, “DNA-testing smartphone aims to tackle drugs resistance,” 1/2017
• The Scientist, “Next Generation: Mobile Microscope Detects DNA Sequences,” 1/2017
• Popular Science, “This machine lets your smartphone analyze DNA,” 1/2027
• PC Magazine, “Scientists Can Sequence DNA With a Smartphone,” 1/2017
• The Inquirer, “Smartphone-based microscope means DNA sequencing any time, any place, anywhere,” 1/2017
• Gizmodo, “Scientists Can Now Sequence DNA With a Smartphone,” 1/2017
• com, “Smartphone Microscope Images and Detects Next-Generation DNA Sequencing Reactions,” 1/2017
• BioOptics World, “Biophotonics-driven smartphone attachment detects antimicrobial resistance,” 12/2016
• Org, “Researchers combat antimicrobial resistance using smartphones,” 12/2016
• Hurriyet Daily News, “Turkish engineer, inventor at UCLA receives Koç University’s Medal of Science” 12/2016
• United Press International (UPI), “Wearable monitors measure dyes through skin” 9/2016
• BioOptics World, “Wearable microscope can measure fluorescent dyes through skin” 9/2016
• United Press International (UPI), “Technique may quickly detect diseases, cancer with portable device,” 8/2016
• BioOptics World, “Lens-free microscopy platform shows promise for rapid gout diagnosis,” 7/2016
• Lab Manager, “Developments in Computational Imaging Techniques,” 6/2016
• BioOptics World, “Seminal biophotonics device developer Ozcan is named IEEE distinguished lecturer” 5/2016
• Org, “New technique greatly enhances digital microscopy images,” 1/2016
• Gizmodo, “A New Sensor Turns Old Microscopes Into Super-Resolution Devices,” 1/2016
• BioOptics World, “Biophotonics innovator Ozcan wins International Commission for Optics Prize,” 12/2015
• Discover Magazine, “A DNA Analyzer That Fits in Your Pocket,” 11/2015
• Engineering360, “The Lab-on-Chip Revolution: Finding the Right Niche,”10/2015
• Org, “Optics+Photonics2015: Cell phone evolution ‘democratizes’ diagnostic tools,” 8/2015
• BioOptics World, “UCLA mobile diagnostics spinoff Holomic is named World Economic Forum Tech Pioneer,” 8/2015
• BioOptics World, “Smartphone-based ELISA reader performs medical diagnostics at the point of care,” 8/2015
• UCLA Newsroom, “UCLA teams with Korean organization to teach middle school students about global health issues,” 8/2015
• Org, “Researchers create smartphone-based device that reads medical diagnostic tests quickly and accurately,” 7/2015
• CCTV-America (Chinese Central Television), “Game-changing tech for the developing world,” 6/2015
• UCLA Newsroom, “UCLA undergraduates shine at engineering research event,” 6/2015
• TXNOLOGIST, “Light’s Guide: Engineer Coaxes Photons & Smartphones to Reveal Hidden Worlds,” 6/2015
• Chemical and Engineering News (C&EN), “Smartphones Put Medical Diagnostics In Your Hands” 5/2015
• Bioscience Technology, “New Technology Turns Smartphone into a DNA-Scanning Microscope” 5/2015
• Gizmag, “3D-printed attachment turns any smartphone into a DNA-scanning microscope,” 5/2015
• Optical Society (OSA) Newsroom, “A Phone with the Ultimate Macro Feature,” 4/2015
• BioOptics World, “Noninvasive app captures chlorophyll content quickly, cheaply,” 3/2105
• Scientific American, “Google Glass Takes Sharp Look At Plant Health,” 2/2015
• Daily Bruin, “UCLA lab develops Google Glass app for rapid diagnosis of plant health,” 2/2015
• RSC Chemistry World, “Google Glass to monitor plant health,” 2/2015
• Optik & Photonik, “Lens-free Microscope Can Detect Cancer at the Cellular Level,” 2/2015
• Org, “Google Glass app noninvasively analyzes plant health in seconds,” 2/2015
• BioOptics World, “SINGLE-MOLECULE MICROSCOPY/PORTABLE PATHOLOGY: Compact devices compete with high-end instruments” 1/2015
• BioTechniques, “Diagnosis by Hologram,” 1/2015
• Los Angeles Times, “A lens-free microscope that borrows tech from your cellphone,” 12/2014
• The Scientist, “Measuring DNA with a Smartphone,” 12/2014
• Laser Focus World, “From Ozcan's lab at UCLA: a smartphone fluorescence microscope and a lens-free cancer-detecting microscope,” 12/2014
• OSA Optics and Photonics News (OPN), “Viewing a Single DNA Strand with a Smartphone,” 12/2014
• Chemical and Engineering News (C&EN), “Smartphone Microscope Sizes Up Single DNA Molecules,” 12/2014
• IHS Engineering 360, “Your Smart Phone as Medical Lab Instrument” 12/2014
• com, “Lens-Free 3-D Microscope Sharp Enough for Pathology,” 12/2014
• Org, “Engineers detect and measure individual DNA molecules using smartphone microscope,” 12/2014
• The Huffington Post, “A Mobile Health Innovation That Could Help Stop Ebola,” 11/2014
• Nature Photonics - Editorial, “Mobile Science,” 10/2014
• Robb Report, “Phoning in on Food Allergens,” 10/2014
• Cisco Blogs, “Mobile Phone Microscopes for the Developing World,” 8/2014
• Chemical and Engineering News (C&EN), “Nanolenses Help Researchers Pick Out Tiny Objects,” 7/2014
• BioOptics World, “Biophotonics trailblazers drive mobile health,” 7/2014
• BioOptics World, “Biophotonics pioneer Ozcan named 2014 Howard Hughes Medical Institute Professor” 7/2014
• HHMI, Howard Hughes Medical Institute, “HHMI Puts Top Scientists in the Classroom,” 6/2014
• Fora TV, “Frontier Medicine,” 6/2014
• Smithsonian Magazine, “Inside the Technology That Can Turn Your Smartphone into a Personal Doctor,” 4/2014
• ACS, “Transforming Tech Toys,” 4/2014
• ACS Breakthrough Science, “Using Google Glass to map the future of medical testing,” 4/2014
• ABC 7 News, Google Glass based Diagnostics, 3/2014
• Laser Focus World, LED-based lab-on-a-chip device screens for 170,000 molecules in blood, 3/2014
• Nanowerk, A Google Glass app for instant medical diagnostics, 3/2014
• Red Orbit, New Google Glass App Can Transmit Diagnostic Tests For Analysis, 2/2014
• Chemistry World, Science at your fingertips, 2/2014
• Medical News Today, Could Google Glass be used to predict disease outbreaks?, 2/2014
• Fast Company, Use Your Phone To Find Out If You're Getting Poisoned By Mercury, 2/2014
• CNET News, 'Lab on a phone' detects mercury in water, 2/2014
• Org, Research team develops rapid smartphone-based mercury testing and mapping, 2/2014
• Nature, Phone device detects mercury, 1/2014
• Chemical and Engineering News (C&EN), Smartphone Attachment Detects Ionic Mercury, 1/2014
• Renal & Urology News, New Albumin Self-Testing Platform, 12/2013
• ACS Press Room, Combating Disease: Improved smartphone microscope brings single-virus detection to remote locations, 11/2013
• Nature Nanotechnology, Imaging on the Go, 11/2013
• Scientific American, Smartphone-Based Imaging System Spots Nanoscale Objects, 11/2013
• ASME Podcast, Turning Your Smartphone into a Microscope, 10/2013
• AAAS Science Update, Smartphone Microscope, 10/2013
• NBC News, Turn a smart-phone into a virus-detecting microscope?, 10/2013
• The Wall Street Journal, A Virus on the Camera Roll, 9/2013
• Wired Magazine, Nokia 808 PureView smartphone used to fluorescence image viruses, 9/2103
• Los Angeles Times, Smartphone attachment can photograph nano-scale objects, 9/2013
• The Engineer, Smartphone attachment detects viruses and bacteria, 9/2013
• BioScience Technology, Smartphone 'Microscope' Detects a Single Virus, 9/2103
• Fast Company, Researchers turn a smartphone into a virus-detecting microscope, 9/2013
• Chemical and Engineering News (C&EN), Smart Phones Snap Pictures Of Individual Virus Particles, 9/2013
• Chemistry World, Personal kidney disease monitoring on your phone, 8/2013
• The Engineer, Smartphone albumin detector to make life easier for diabetics, 8/2013
• Laser Focus World, UCLA researchers create small Android/iPhone fluorescence device for common kidney tests, 8/2013
• Photonics Media, Photonics Firm a Finalist in Nokia Sensing Contest, 8/2013
• Lab on a Chip Blog (Royal Society of Chemistry), A new function for your cell-phone: analysing blood at point of care, 7/2013
• Optical Society of America (OSA) Press Release, New Single Virus Detection Techniques for Faster Disease Diagnosis, 5/2013
• The Wall Street Journal, Seeking Creative Solutions to Global Health Problems, 5/2013
• TechNews World, Food Testing for Safe Tasting, 5/2013
• Milken Institute, Bioscience Discoveries That Will Blow Your Mind, 5/2013
• LiveScience, Stunning 3D sperm images reveal new motion, 4/2013
• Org, Cell phone camera photographs microscopic cell samples, 4/2013
• Photonics Spectra, Food allergen worries? There’s an app for that, 3/2013
• Org, UCLA brings malaria diagnosis to the masses, 3/2013
• Wellcome Trust Blog, Crowdsourcing malaria diagnosis with games, 3/2013
• Le Monde, Un imageur optique sans lentille, 2/2013
• Photonics Spectra, Smartphones Move From Social Media to Social Medicine, 1/2013
• IEEE Spectrum, Smartphones as Blood Analyzers and Allergen Testers, 1/2013
• Org, Nano-lens microscopes can detect viruses, other objects at nanoscale, 1/2013
• Photonics Media, The Most Popular Stories of 2012, 1/2013
• AAAS Science Update, Smartphone Allergy Tester, 1/2013
• The Scientist, Sperm Shadows, 1/2013
• NBC News, Peanut allergy? Check that food first with your smartphone 'lab', 12/2012
• New York Daily News, Smart phone device can detect food allergens, 12/2012
• Wired Magazine, The Best Scientific Figures of 2012, 12/2012
• Chemistry World, Worried about food allergens? There's an app for that, 12/2012
• Science Daily, Got Food Allergies? You Can Now Test Your Meal On the Spot Using a Cell Phone, 12/2012
• United Nations Dispatch, When Making Diagnoses Becomes A Game, 12/2012
• Gizmag, Revealed: World Technology Network's innovators of 2012, 10/2012
• Nature News, Light-sensing chip captures sperm on the move, 9/2012
• Science Magazine, As the sperm swims, 9/2012
• National Geographic, Sperm Tracked in 3-D - A First, 9/2012
• National Science Foundation, News and Discoveries, Precision Motion Tracking - Thousands of Cells at a Time, 9/2012
• Popular Science, Sperm Can't Turn Left, Or Don't Want To, 9/2012
• Los Angeles Times, Human sperm seen propelling selves by four different swim strokes, 9/2012
• Discover Magazine, House Calls for the 21st Century: Carrying a Doctor in Your Pocket, 9/2012
• Org, High-resolution microscopy without a lens, 9/2012
• Business Insider, 30 Game Changing Innovations, 8/2012
• Business Insider, A Tiny Microscope That Attaches To A Cell Phone Could Save Lives Around The World, 8/2012
• Drive for Innovation, Impacts of Smart Phone Medicine, 8/2012
• The Science Coalition, Innovators Series, 7/2012
• University of California, Office of the President “Cell phone-based sensor spots dangerous bacteria,” 7/2012
• BioOptics World, “Average Joes challenge medical pros in telepathology game,” 7/2012
• BioTechniques, “Crowdsourcing Microscopic Analysis,” 6/2012
• UCLA Newsroom, “Game on! UCLA researchers use online crowd-sourcing to diagnose malaria,” 5/2012
• PC World, “Crowdsourcing Game Helps Diagnose Infectious Diseases,” 5/2012
• CNET, “Tracking diseases using Google Maps and cell phones,” 5/2012
• Science Daily, “Researchers Combat Global Disease With a Cell Phone, Google Maps and a Lot of Ingenuity” 4/2012
• Popular Science (PopSci), “Scan Your Food For Bacteria With Your Cell Phone” 2/2012
• Science Magazine Podcast, “Engineering Public Health,” 2/2012
• Physics Today, “Microtomography for microfluidics at Photonics West” 1/2012
• NBC Los Angeles, “UCLA Scientist's Cell Phone Microscope Named Top Innovation of 2011,” 1/2012
• The Scientist, “Top Ten Innovations of 2011,” 1/2012
• BBC News, “Portable microscope detects bacteria using holograms”, 9/2011
• Time Magazine, Techland Blog, “A Laser Microscope that Detects E. Coli and Creates Holograms?,” 9/2011
• SPIE Newsroom, “Low-cost cellphone microscope enabled by enhanced processing capabilities”, 9/2011
• Optics & Photonics News (OPN), “Microscopy without lenses,” 9/2011
• Popular Science, “Holographic Microscope Detects Bacteria on the Cheap,” 9/2011
• BioOptics World, “Holograms replace lenses in low-cost, portable, dual-mode microscope,” 8/2011
• Physics Today, “Harnessing consumer mobile devices for science,” 8/2011
• Chemical and Engineering News (C&EN), “A cell phone counts cells,” 7/2011
• Science Daily, “Got Flow Cytometry? All You Need Is Five Bucks and a Cell Phone,” 7/2011
• Telemedicine and E-Health Journal, “Telemicroscopes and Point-of-Care Diagnostics Team Up with Smartphones,” 6/2011
• Com, “How Mobile Phones Are Saving Lives in the Developing World,” 6/2011
• Org, “UCLA team shows lens-free 3D optical tomography” 5/2011
• Medical News Today, “High-Resolution 3-D Images On A Chip Produced By Optical Microscope Without Lenses,” 4/2011
• CNN, “The 'killer app' that could help save lives,” 3/2011
• The Independent (UK), “Smartphone doubles as microscope to test blood, water parasites,” 2/2011
• LiveScience (NSF), “Cell Phone Apps Test for Disease,” 2/2011
• BioPhotonics Magazine, “Not Your Father’s Microscope,” 2/2011
• Popular Mechanics Magazine, “10 Tech Concepts You Need to Know for 2011,” 12/2010
• com, “The Best of 2010: Lensless Microscope Made for Telemedicine” 12/2010
• USA Today, “UCLA develops cell phone microscope,” 12/2010
• National Geographic Magazine, “New Life-Saving Medical Imaging Tool: The Mobile Phone,” 12/2010
• Popular Mechanics Magazine, “Cell-phone Enabled Healthcare,” 10/2010
• UCLA Newsroom, “UCLA lens-free telemedicine microscope adds male fertility testing to its bag of tricks,” 10/2010
• BBC News, “Smart vision for mobile phones in the developing world,” 09/2010
• Voice of America News, “14 Scientists and Activists Who Are Changing the World,” 09/2010
• Bio Photonics Magazine, “Lensless, phone-based imaging addresses global health care needs,” 09/2010
• The Scientist, “Cell+Phone,” 9/2010
• Nature Photonics Research Highlights, “Lens-free imaging,” 7/2010
• BioTechniques, “Outward bound: scientists design high-throughput HIV test for the field,” 8/2010
• Smart Planet, “New in telemedicine: The cell phone microscope”, 7/2010
• IEEE, The Institute Magazine, “Pocket Microscopes”, 7/2010
• Science Daily, “Cell Phone Microscope Poised to Begin Trials in Africa,” 7/2010
• Daily Tech, “New "Lab on a Chip" Device Revolutionizes HIV Testing” 7/2010
• Scientific American, “Tech Team Puts Microscope on Cell Phone,” 6/2010
• MIT’s Technology Review Magazine, “$3 Microscope Plugs into Cell Phones”, 5/2010
• Science and Development Network (SciDevNet), “Tiny microscope eyes the developing world”, 04/2010
• Science Daily, “World’s smallest and lightest telemedicine microscope”, 4/2010
• The New York Times, “Far From a Lab? Turn a Cellphone Into a Microscope”, 11/2009
• CNET News, “How your cell phone can diagnose disease”, 11/2009
• Popular Science (PopSci), “A Software-Powered Cell Phone Microscope That Doesn't Need Special Lenses”, 11/2009
• MIT’s Technology Review Magazine, “Inexpensive chips and sophisticated software could make microscope lenses obsolete”, 09/2009
• UCLA Newsroom covers LUCAS with a video 09/2009 (Watch)
• Earth & Sky Radio Series, Radio Interview on LUCAS, 04/2009 (Listen)
• Vodafone Americas Foundation, Press Release on LUCAS, 04/2009
• Science and Development Network (SciDevNet), “Mobile phone diagnosis approaches field trials”, 04/2009
• Los Angeles Business Journal, “Healthy Future Takes Shape”, 04/2009
• BBC - Science in Action, Radio Interview on LUCAS, 01/2009 (Listen)
• CNN, “Invention turns cell phone into mobile medical lab”, 02/2009
• CBS – Science Channel, Brink Show, Video Interview on LUCAS, 02/2009 (Watch)
• Science Daily, “Health Monitoring with Your Cell Phone”, 12/2008
• Wired Magazine, “Scientists Hack Cellphone to Analyze Blood, Detect Disease, Help Developing Nations”, 12/2008
• Voice of America Interview on LUCAS, 10/2008 (Watch)
• BioOptics World Magazine, “Hologram technology enables monitoring of HIV, malaria, E. coli via cell phone”, 12/2008
• Medical Design Magazine, “Smart counter also identifies cells in sample”, 11/2008
• MIT’s Technology Review Magazine, “Counting cells in seconds”, 10/2008
• com, “Dial-in Diagnosis”, 10/2008
• Science Daily, “Better Health Through Your Cell Phone”, 09/2008

• 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

• 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