| Detection and spatial mapping of mercury contamination in water samples using a smart-phone Q Wei, R Nagi, K Sadeghi, S Feng, E Yan, SJ Ki, R Caire, D Tseng, ... ACS nano 8 (2), 1121-1129, 2014 | 452 | 2014 |
| Cellphone-based hand-held microplate reader for point-of-care testing of enzyme-linked immunosorbent assays B Berg, B Cortazar, D Tseng, H Ozkan, S Feng, Q Wei, RYL Chan, ... ACS nano 9 (8), 7857-7866, 2015 | 376 | 2015 |
| Lens-free optical tomographic microscope with a large imaging volume on a chip SO Isikman, W Bishara, S Mavandadi, FW Yu, S Feng, R Lau, A Ozcan Proceedings of the National Academy of Sciences 108 (18), 7296-7301, 2011 | 308 | 2011 |
| Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning HC Koydemir, Z Gorocs, D Tseng, B Cortazar, S Feng, RYL Chan, ... Lab on a Chip 15 (5), 1284-1293, 2015 | 219 | 2015 |
| Immunochromatographic diagnostic test analysis using Google Glass S Feng, R Caire, B Cortazar, M Turan, A Wong, A Ozcan ACS nano 8 (3), 3069-3079, 2014 | 213 | 2014 |
| Imaging and sizing of single DNA molecules on a mobile phone Q Wei, W Luo, S Chiang, T Kappel, C Mejia, D Tseng, RYL Chan, E Yan, ... ACS nano 8 (12), 12725-12733, 2014 | 196 | 2014 |
| Air quality monitoring using mobile microscopy and machine learning YC Wu, A Shiledar, YC Li, J Wong, S Feng, X Chen, C Chen, K Jin, ... Light: Science & Applications 6 (9), e17046-e17046, 2017 | 158 | 2017 |
| Distributed medical image analysis and diagnosis through crowd-sourced games: a malaria case study S Mavandadi, S Dimitrov, S Feng, F Yu, U Sikora, O Yaglidere, ... PloS one 7 (5), e37245, 2012 | 154 | 2012 |
| Cellphone-based detection platform for rbST biomarker analysis in milk extracts using a microsphere fluorescence immunoassay SKJ Ludwig, H Zhu, S Phillips, A Shiledar, S Feng, D Tseng, ... Analytical and bioanalytical chemistry 406, 6857-6866, 2014 | 92 | 2014 |
| Crowd-sourced BioGames: managing the big data problem for next-generation lab-on-a-chip platforms S Mavandadi, S Dimitrov, S Feng, F Yu, R Yu, U Sikora, A Ozcan Lab on a Chip 12 (20), 4102-4106, 2012 | 63 | 2012 |
| Quantification of plant chlorophyll content using Google Glass B Cortazar, HC Koydemir, D Tseng, S Feng, A Ozcan Lab on a Chip 15 (7), 1708-1716, 2015 | 56 | 2015 |
| High-throughput and automated diagnosis of antimicrobial resistance using a cost-effective cellphone-based micro-plate reader S Feng, D Tseng, D Di Carlo, OB Garner, A Ozcan Scientific reports 6 (1), 39203, 2016 | 48 | 2016 |
| BioGames: a platform for crowd-sourced biomedical image analysis and telediagnosis S Mavandadi, S Feng, F Yu, S Dimitrov, R Yu, A Ozcan GAMES FOR HEALTH: Research, Development, and Clinical Applications 1 (5 …, 2012 | 40 | 2012 |
| A mathematical framework for combining decisions of multiple experts toward accurate and remote diagnosis of malaria using tele-microscopy S Mavandadi, S Feng, F Yu, S Dimitrov, K Nielsen-Saines, WR Prescott, ... Public Library of Science 7 (10), e46192, 2012 | 35 | 2012 |
| Method and device for quantification of plant chlorophyll content A Ozcan, B Cortazar, HC Koydemir, D Tseng, S Feng US Patent 10,175,215, 2019 | 30 | 2019 |
| Micro-plate reader for ELISA testing A Ozcan, B Berg, B Cortazar, D Tseng, SW Feng, H Ozkan, O Garner, ... US Patent 11,347,000, 2022 | 22 | 2022 |
| Comparison of supervised machine learning algorithms for waterborne pathogen detection using mobile phone fluorescence microscopy H Ceylan Koydemir, S Feng, K Liang, R Nadkarni, P Benien, A Ozcan Nanophotonics 6 (4), 731-741, 2017 | 21 | 2017 |
| A game-based crowdsourcing platform for rapidly training middle and high school students to perform biomedical image analysis S Feng, M Woo, H Kim, E Kim, S Ki, L Shao, A Ozcan Optics and Biophotonics in Low-Resource Settings II 9699, 92-100, 2016 | 11 | 2016 |
| Antimicrobial susceptibility testing device and method for use with portable electronic device A Ozcan, O Garner, D Di Carlo, SW Feng US Patent 11,697,833, 2023 | 8 | 2023 |
| Mobile microscopy and machine learning provide accurate and high-throughput monitoring of air quality Y Wu, A Shiledar, Y Li, J Wong, S Feng, X Chen, C Chen, K Jin, ... 2017 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2017 | 6 | 2017 |
