| 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 | 730 | 2019 |
| Deep learning microscopy Y Rivenson, Z Göröcs, H Günaydin, Y Zhang, H Wang, A Ozcan Optica 4 (11), 1437-1443, 2017 | 676 | 2017 |
| 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 | 576 | 2019 |
| Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning Y Wu, Y Rivenson, H Wang, Y Luo, E Ben-David, LA Bentolila, C Pritz, ... Nature methods 16 (12), 1323-1331, 2019 | 219 | 2019 |
| Deep learning enhanced mobile-phone microscopy Y Rivenson, H Ceylan Koydemir, H Wang, Z Wei, Z Ren, H Günaydın, ... Acs Photonics 5 (6), 2354-2364, 2018 | 195 | 2018 |
| Edge sparsity criterion for robust holographic autofocusing Y Zhang, H Wang, Y Wu, M Tamamitsu, A Ozcan Optics letters 42 (19), 3824-3827, 2017 | 177 | 2017 |
| Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning H Wang, H Ceylan Koydemir, Y Qiu, B Bai, Y Zhang, Y Jin, S Tok, ... Light: Science & Applications 9 (1), 118, 2020 | 134 | 2020 |
| Sparsity-based multi-height phase recovery in holographic microscopy Y Rivenson, Y Wu, H Wang, Y Zhang, A Feizi, A Ozcan Scientific reports 6 (1), 37862, 2016 | 112 | 2016 |
| Label-free bioaerosol sensing using mobile microscopy and deep learning Y Wu, A Calis, Y Luo, C Chen, M Lutton, Y Rivenson, X Lin, HC Koydemir, ... ACS Photonics 5 (11), 4617-4627, 2018 | 77 | 2018 |
| Biopsy-free in vivo virtual histology of skin using deep learning J Li, J Garfinkel, X Zhang, D Wu, Y Zhang, K De Haan, H Wang, T Liu, ... Light: Science & Applications 10 (1), 233, 2021 | 68 | 2021 |
| Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning Y Zhang, H Ceylan Koydemir, MM Shimogawa, S Yalcin, A Guziak, T Liu, ... Light: Science & Applications 7 (1), 108, 2018 | 63 | 2018 |
| Deep learning-based holographic polarization microscopy T Liu, K de Haan, B Bai, Y Rivenson, Y Luo, H Wang, D Karalli, H Fu, ... ACS photonics 7 (11), 3023-3034, 2020 | 49 | 2020 |
| Systems and methods for deep learning microscopy A Ozcan, Y Rivenson, H Wang, H Gunaydin, K De Haan US Patent 11,222,415, 2022 | 47 | 2022 |
| Computational out-of-focus imaging increases the space–bandwidth product in lens-based coherent microscopy H Wang, Z Göröcs, W Luo, Y Zhang, Y Rivenson, LA Bentolila, A Ozcan Optica 3 (12), 1422-1429, 2016 | 43 | 2016 |
| 3D imaging of optically cleared tissue using a simplified CLARITY method and on-chip microscopy Y Zhang, Y Shin, K Sung, S Yang, H Chen, H Wang, D Teng, Y Rivenson, ... Science advances 3 (8), e1700553, 2017 | 41 | 2017 |
| Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning B DoanNgan, DM Angus, LH Sung BME frontiers, 2022 | 38 | 2022 |
| Pathological crystal imaging with single‐shot computational polarized light microscopy B Bai, H Wang, T Liu, Y Rivenson, J FitzGerald, A Ozcan Journal of biophotonics 13 (1), e201960036, 2020 | 32 | 2020 |
| Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront M Tamamitsu, Y Zhang, H Wang, Y Wu, A Ozcan arXiv preprint arXiv:1708.08055, 2017 | 25 | 2017 |
| Deep learning achieves super-resolution in fluorescence microscopy H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydin, LA Bentolila, ... Biorxiv, 309641, 2018 | 21 | 2018 |
| Deep-learning-based virtual refocusing of images using an engineered point-spread function X Yang, L Huang, Y Luo, Y Wu, H Wang, Y Rivenson, A Ozcan ACS Photonics 8 (7), 2174-2182, 2021 | 20 | 2021 |
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorVerified email at ucla.edu
