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, 2019 | 604 | 2019 |
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning Y Rivenson, T Liu, Z Wei, Y Zhang, K de Haan, A Ozcan Light: Science & Applications 8 (1), 23, 2019 | 396 | 2019 |
Deep learning-based transformation of H&E stained tissues into special stains K de Haan, Y Zhang, JE Zuckerman, T Liu, AE Sisk, MFP Diaz, KY Jen, ... Nature communications 12 (1), 1-13, 2021 | 227 | 2021 |
Deep learning-based super-resolution in coherent imaging systems T Liu, K de Haan, Y Rivenson, Z Wei, X Zeng, Y Zhang, A Ozcan Scientific reports 9 (1), 1-13, 2019 | 174 | 2019 |
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 | 145 | 2019 |
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue Y Zhang, K de Haan, Y Rivenson, J Li, A Delis, A Ozcan Light: Science & Applications 9 (1), 78, 2020 | 137 | 2020 |
Resolution enhancement in scanning electron microscopy using deep learning K de Haan, ZS Ballard, Y Rivenson, Y Wu, A Ozcan Scientific reports 9 (1), 1-7, 2019 | 136 | 2019 |
Automated screening of sickle cells using a smartphone-based microscope and deep learning K de Haan, H Ceylan Koydemir, Y Rivenson, D Tseng, E Van Dyne, ... NPJ digital medicine 3 (1), 76, 2020 | 104 | 2020 |
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 | 87 | 2021 |
Deep learning‐based color holographic microscopy T Liu, Z Wei, Y Rivenson, K de Haan, Y Zhang, Y Wu, A Ozcan Journal of biophotonics 12 (11), e201900107, 2019 | 58 | 2019 |
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 | 56 | 2020 |
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning B Bai, H Wang, Y Li, K de Haan, F Colonnese, Y Wan, J Zuo, NB Doan, ... BME Frontiers 2022, 2022 | 50 | 2022 |
Systems and methods for deep learning microscopy A Ozcan, Y Rivenson, H Wang, H Gunaydin, K De Haan US Patent 11,222,415, 2022 | 43 | 2022 |
Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device S Tok, K de Haan, D Tseng, CF Usanmaz, HC Koydemir, A Ozcan Lab on a Chip 19 (17), 2925-2935, 2019 | 35 | 2019 |
Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning C Işıl, K de Haan, Z Göröcs, HC Koydemir, S Peterman, D Baum, ... ACS Photonics 8 (4), 1232-1242, 2021 | 33 | 2021 |
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer Z Göröcs, D Baum, F Song, K de Haan, HC Koydemir, Y Qiu, Z Cai, ... Lab on a Chip 20 (23), 4404-4412, 2020 | 28 | 2020 |
Virtual stain transfer in histology via cascaded deep neural networks X Yang, B Bai, Y Zhang, Y Li, K de Haan, T Liu, A Ozcan ACS Photonics 9 (9), 3134-3143, 2022 | 27 | 2022 |
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks Y Zhang, L Huang, T Liu, K Cheng, K de Haan, Y Li, B Bai, A Ozcan Intelligent Computing, 2022 | 22 | 2022 |
Roadmap on Deep Learning for Microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 18 | 2023 |