Yichen Wu
Yichen Wu
Imaging scientist at Apple; Ph.D. at UCLA
Verified email at
Cited by
Cited by
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 GŁnaydın, ...
Nature biomedical engineering 3 (6), 466-477, 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 GŁnaydin, X Lin, A Ozcan
Optica 5 (6), 704-710, 2018
Deep learning in holography and coherent imaging
Y Rivenson, Y Wu, A Ozcan
Light: Science & Applications 8 (1), 85, 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
Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring
Y Wu, A Ozcan
Methods 136, 4-16, 2018
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
Edge sparsity criterion for robust holographic autofocusing
Y Zhang, H Wang, Y Wu, M Tamamitsu, A Ozcan
Optics letters 42 (19), 3824-3827, 2017
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
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
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
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
Performance of ultra-thin SOI-based resonators for sensing applications
ST Fard, V Donzella, SA Schmidt, J Flueckiger, SM Grist, PT Fard, Y Wu, ...
Optics express 22 (12), 14166-14179, 2014
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
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
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
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
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
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
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
Demosaiced pixel super-resolution for multiplexed holographic color imaging
Y Wu, Y Zhang, W Luo, A Ozcan
Scientific reports 6 (1), 28601, 2016
The system can't perform the operation now. Try again later.
Articles 1–20