Hongda Wang
Hongda Wang
Research Scientist at Pictor Labs; Ph.D. at UCLA
Verified email at
Cited by
Cited by
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
Deep learning microscopy
Y Rivenson, Z Göröcs, H Günaydin, Y Zhang, H Wang, A Ozcan
Optica 4 (11), 1437-1443, 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
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
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
Edge sparsity criterion for robust holographic autofocusing
Y Zhang, H Wang, Y Wu, M Tamamitsu, A Ozcan
Optics letters 42 (19), 3824-3827, 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
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
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
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
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
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
Systems and methods for deep learning microscopy
A Ozcan, Y Rivenson, H Wang, H Gunaydin, K De Haan
US Patent 11,222,415, 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
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
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
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
B DoanNgan, DM Angus, LH Sung
BME frontiers, 2022
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
Method and system for digital staining of label-free fluorescence images using deep learning
A Ozcan, Y Rivenson, H Wang, Z Wei
US Patent 11,893,739, 2024
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
The system can't perform the operation now. Try again later.
Articles 1–20