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Kelvin C M Lee

Showing results (1-10 of 15) with videos related to

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Trends in Biotechnology|April 25, 2021
Toward Deep Biophysical Cytometry: Prospects and ChallengesKelvin C M Lee, Jochen Guck, Keisuke Goda, et al.
Lab on a Chip|January 5, 2023
Optofluidic imaging meets deep learning: from merging to emergingDickson M D Siu, Kelvin C M Lee, Bob M F Chung, et al.
Bioinformatics (Oxford, England)|January 24, 2020
PARC: ultrafast and accurate clustering of phenotypic data of millions of single cellsShobana V Stassen, Dickson M D Siu, Kelvin C M Lee, et al.
Lab on a Chip|February 25, 2026
Intelligent image-activated sorting of large cells enabled by elasto-inertial focusingYuzuki Nagasaka, Akihiro Isozaki, Hiroki Matsumura, et al.
Optics Express|December 14, 2016
High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplanktonQueenie T K Lai, Kelvin C M Lee, Anson H L Tang, et al.
Lab on a Chip|August 5, 2024
Dispersion-free inertial focusing (DIF) for high-yield polydisperse micro-particle filtration and analysisKelvin C M Lee, Bob M F Chung, Dickson M D Siu, et al.
Communications Biology|April 24, 2023
Morphological profiling by high-throughput single-cell biophysical fractometryZiqi Zhang, Kelvin C M Lee, Dickson M D Siu, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|April 24, 2019
Quantitative Phase Imaging Flow Cytometry for Ultra-Large-Scale Single-Cell Biophysical PhenotypingKelvin C M Lee, Maolin Wang, Kathryn S E Cheah, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 12, 2021
Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural NetworkMaolin Wang, Kelvin C M Lee, Bob M F Chung, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 12, 2024
Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular HeterogeneityMichelle C K Lo, Dickson M D Siu, Kelvin C M Lee, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Trends in Biotechnology|April 25, 2021
Toward Deep Biophysical Cytometry: Prospects and ChallengesKelvin C M Lee, Jochen Guck, Keisuke Goda, et al.
Lab on a Chip|January 5, 2023
Optofluidic imaging meets deep learning: from merging to emergingDickson M D Siu, Kelvin C M Lee, Bob M F Chung, et al.
Bioinformatics (Oxford, England)|January 24, 2020
PARC: ultrafast and accurate clustering of phenotypic data of millions of single cellsShobana V Stassen, Dickson M D Siu, Kelvin C M Lee, et al.
Lab on a Chip|February 25, 2026
Intelligent image-activated sorting of large cells enabled by elasto-inertial focusingYuzuki Nagasaka, Akihiro Isozaki, Hiroki Matsumura, et al.
Optics Express|December 14, 2016
High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplanktonQueenie T K Lai, Kelvin C M Lee, Anson H L Tang, et al.
Lab on a Chip|August 5, 2024
Dispersion-free inertial focusing (DIF) for high-yield polydisperse micro-particle filtration and analysisKelvin C M Lee, Bob M F Chung, Dickson M D Siu, et al.
Communications Biology|April 24, 2023
Morphological profiling by high-throughput single-cell biophysical fractometryZiqi Zhang, Kelvin C M Lee, Dickson M D Siu, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|April 24, 2019
Quantitative Phase Imaging Flow Cytometry for Ultra-Large-Scale Single-Cell Biophysical PhenotypingKelvin C M Lee, Maolin Wang, Kathryn S E Cheah, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 12, 2021
Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural NetworkMaolin Wang, Kelvin C M Lee, Bob M F Chung, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 12, 2024
Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular HeterogeneityMichelle C K Lo, Dickson M D Siu, Kelvin C M Lee, et al.
Pageof 2