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 | 638 | 2019 |
Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery Y Wu, Y Rivenson, Y Zhang, Z Wei, H Günaydin, X Lin, A Ozcan Optica 5 (6), 704-710, 2018 | 365 | 2018 |
Deep learning in holography and coherent imaging Y Rivenson, Y Wu, A Ozcan Light: Science & Applications 8 (1), 85, 2019 | 294 | 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 | 239 | 2019 |
Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring Y Wu, A Ozcan Methods 136, 4-16, 2018 | 229 | 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 | 202* | 2017 |
A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples Z Gӧrӧcs, M Tamamitsu, V Bianco, P Wolf, S Roy, K Shindo, K Yanny, ... Light: Science & Applications 7 (1), 66, 2018 | 183 | 2018 |
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 | 155 | 2017 |
Deep-learning-based image reconstruction and enhancement in optical microscopy K de Haan, Y Rivenson, Y Wu, A Ozcan Proceedings of the IEEE 108 (1), 30-50, 2019 | 148 | 2019 |
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram Y Wu, Y Luo, G Chaudhari, Y Rivenson, A Calis, K De Haan, A Ozcan Light: Science & Applications 8 (1), 25, 2019 | 146 | 2019 |
Resolution enhancement in scanning electron microscopy using deep learning K de Haan, ZS Ballard, Y Rivenson, Y Wu, A Ozcan Scientific reports 9 (1), 12050, 2019 | 136 | 2019 |
Impact of fabrication non-uniformity on chip-scale silicon photonic integrated circuits L Chrostowski, X Wang, J Flueckiger, Y Wu, Y Wang, ST Fard Optical Fiber Communication Conference, Th2A. 37, 2014 | 133 | 2014 |
Performance of ultra-thin SOI-based resonators for sensing applications ST Fard, V Donzella, SA Schmidt, J Flueckiger, SM Grist, P Talebi Fard, ... Optics express 22 (12), 14166-14179, 2014 | 129 | 2014 |
Palladium-catalyzed allylic C–H bond functionalization of olefins G Liu, Y Wu CH Activation, 195-209, 2010 | 128 | 2010 |
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 | 118 | 2016 |
Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning A Feizi, Y Zhang, A Greenbaum, A Guziak, M Luong, RYL Chan, B Berg, ... Lab on a Chip 16 (22), 4350-4358, 2016 | 99 | 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 | 81 | 2018 |
Deep learning enables high-throughput analysis of particle-aggregation-based biosensors imaged using holography Y Wu, A Ray, Q Wei, A Feizi, X Tong, E Chen, Y Luo, A Ozcan Acs Photonics 6 (2), 294-301, 2018 | 80 | 2018 |
Extremely low frequency electromagnetic fields facilitate vesicle endocytosis by increasing presynaptic calcium channel expression at a central synapse Z Sun, J Ge, B Guo, J Guo, M Hao, Y Wu, Y Lin, T La, P Yao, Y Mei, ... Scientific Reports 6 (1), 21774, 2016 | 79 | 2016 |
Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproduction Y Zhang, Y Wu, Y Zhang, A Ozcan Scientific reports 6 (1), 27811, 2016 | 67 | 2016 |