Author

S. Y. Chew

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

C. Yi-Pin Lee· 1 shared D. N. Roxby· 1 shared H. Jeon· 1 shared J. Chen· 1 shared J. Han· 1 shared J. Tan· 1 shared N. Zhang· 1 shared R. A. Jie· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

C. Yi-Pin Lee

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioengineeringbioRxivDec 16, 2022

Label-free and high-throughput removal of residual undifferentiated cells from iPSC-derived spinal-cord progenitor cells

T. D. Nguyen, W. H. Chooi, H. Jeon…·J. Han

This study removes residual undifferentiated iPSCs from spinal-cord progenitor cells using size-based microfluidic separation, reducing OCT4-positive cells without affecting viability.

DOI 10.1093/stcltm/szae002

humanflow cytometry

𝕏 PostBluesky

BiophysicsbioRxivPreprintJan 21, 2021

Single Cell Biological Microlasers Powered by Deep Learning

Z. Qiao, W. Sun, N. Zhang…·Y.-C. Chen

This study uses deep learning to predict cell sizes from laser mode imaging of single-cell lasers, demonstrating sub-wavelength accuracy in both synthetic and biological cell models.

DOI 10.1101/2021.01.21.427584

imagingdeep learning

𝕏 PostBluesky