Aydogan Ozcan
Aydogan Ozcan
Chancellor's Professor at UCLA & HHMI Professor
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
On the use of deep learning for computational imaging
G Barbastathis, A Ozcan, G Situ
Optica 6 (8), 921-943, 2019
Deep learning microscopy
Y Rivenson, Z Göröcs, H Günaydin, Y Zhang, H Wang, A Ozcan
Optica 4 (11), 1437-1443, 2017
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
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
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
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
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
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
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
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
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
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
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
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
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
Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools
A Ozcan
Lab on a Chip 14 (17), 3187-3194, 2014
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