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APL Photonics
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March 21, 2022
Computational interference microscopy enabled by deep learning
Yuheng Jiao, Yuchen R He, Mikhail E Kandel, et al.
ACS Photonics
|
April 28, 2022
Cell Cycle Stage Classification Using Phase Imaging with Computational Specificity
Yuchen R He, Shenghua He, Mikhail E Kandel, et al.
Nature Communications
|
December 8, 2020
Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
Mikhail E Kandel, Yuchen R He, Young Jae Lee, et al.
Light, Science & Applications
|
September 1, 2021
Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity
Neha Goswami, Yuchen R He, Yu-Heng Deng, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 22, 2020
Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure
Mikhail E Kandel, Marcello Rubessa, Yuchen R He, et al.
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Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
APL Photonics
|
March 21, 2022
Computational interference microscopy enabled by deep learning
Yuheng Jiao, Yuchen R He, Mikhail E Kandel, et al.
ACS Photonics
|
April 28, 2022
Cell Cycle Stage Classification Using Phase Imaging with Computational Specificity
Yuchen R He, Shenghua He, Mikhail E Kandel, et al.
Nature Communications
|
December 8, 2020
Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
Mikhail E Kandel, Yuchen R He, Young Jae Lee, et al.
Light, Science & Applications
|
September 1, 2021
Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity
Neha Goswami, Yuchen R He, Yu-Heng Deng, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 22, 2020
Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure
Mikhail E Kandel, Marcello Rubessa, Yuchen R He, et al.
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of 1