| All-optical machine learning using diffractive deep neural networks X Lin, Y Rivenson, NT Yardimci, M Veli, Y Luo, M Jarrahi, A Ozcan Science 361 (6406), 1004-1008, 2018 | 1394 | 2018 |
| Phase recovery and holographic image reconstruction using deep learning in neural networks Y Rivenson, Y Zhang, H Günaydın, D Teng, A Ozcan Light: Science & Applications 7 (2), 17141-17141, 2018 | 886 | 2018 |
| Emerging technologies for next-generation point-of-care testing SK Vashist, PB Luppa, LY Yeo, A Ozcan, JHT Luong Trends in biotechnology 33 (11), 692-705, 2015 | 680 | 2015 |
| Deep learning enables cross-modality super-resolution in fluorescence microscopy H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydın, LA Bentolila, ... Nature methods 16 (1), 103-110, 2019 | 649 | 2019 |
| Deep learning microscopy Y Rivenson, Z Göröcs, H Günaydin, Y Zhang, H Wang, A Ozcan Optica 4 (11), 1437-1443, 2017 | 632 | 2017 |
| Lensfree microscopy on a cellphone D Tseng, O Mudanyali, C Oztoprak, SO Isikman, I Sencan, O Yaglidere, ... Lab on a Chip 10 (14), 1787-1792, 2010 | 625 | 2010 |
| Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy A Greenbaum, W Luo, TW Su, Z Göröcs, L Xue, SO Isikman, AF Coskun, ... Nature methods 9 (9), 889-895, 2012 | 605 | 2012 |
| On the use of deep learning for computational imaging G Barbastathis, A Ozcan, G Situ Optica 6 (8), 921-943, 2019 | 603 | 2019 |
| Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications O Mudanyali, D Tseng, C Oh, SO Isikman, I Sencan, W Bishara, ... Lab on a Chip 10 (11), 1417-1428, 2010 | 561 | 2010 |
| Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution W Bishara, TW Su, AF Coskun, A Ozcan Optics express 18 (11), 11181-11191, 2010 | 551 | 2010 |
| Inference in artificial intelligence with deep optics and photonics G Wetzstein, A Ozcan, S Gigan, S Fan, D Englund, M Soljačić, C Denz, ... Nature 588 (7836), 39-47, 2020 | 534 | 2020 |
| Integrated rapid-diagnostic-test reader platform on a cellphone O Mudanyali, S Dimitrov, U Sikora, S Padmanabhan, I Navruz, A Ozcan Lab on a Chip 12 (15), 2678-2686, 2012 | 526 | 2012 |
| Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning Y Rivenson, H Wang, Z Wei, K de Haan, Y Zhang, Y Wu, H Günaydın, ... Nature biomedical engineering 3 (6), 466-477, 2019 | 485 | 2019 |
| Fluorescent imaging of single nanoparticles and viruses on a smart phone Q Wei, H Qi, W Luo, D Tseng, SJ Ki, Z Wan, Z Göröcs, LA Bentolila, ... ACS nano 7 (10), 9147-9155, 2013 | 465 | 2013 |
| Optofluidic fluorescent imaging cytometry on a cell phone H Zhu, S Mavandadi, AF Coskun, O Yaglidere, A Ozcan Analytical chemistry 83 (17), 6641-6647, 2011 | 459 | 2011 |
| 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 | 426 | 2014 |
| Cost-effective and compact wide-field fluorescent imaging on a cell-phone H Zhu, O Yaglidere, TW Su, D Tseng, A Ozcan Lab on a Chip 11 (2), 315-322, 2011 | 419 | 2011 |
| Optical imaging techniques for point-of-care diagnostics H Zhu, SO Isikman, O Mudanyali, A Greenbaum, A Ozcan Lab on a Chip 13 (1), 51-67, 2013 | 408 | 2013 |
| Handheld high-throughput plasmonic biosensor using computational on-chip imaging AE Cetin, AF Coskun, BC Galarreta, M Huang, D Herman, A Ozcan, ... Light: Science & Applications 3 (1), e122-e122, 2014 | 399 | 2014 |
| Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools A Ozcan Lab on a Chip 14 (17), 3187-3194, 2014 | 390 | 2014 |
Yair RivensonPictor LabsVerified email at pictorlabs.ai
