Author

S.-C. Liao

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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Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

H. G. Rylander· 1 shared H.-C. Yeh· 1 shared J. Yang· 1 shared S. Hong· 1 shared S. R. Santacruz· 1 shared T. D. Nguyen· 1 shared T. E. Yankeelov· 1 shared Y.-A. Kuo· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

H. G. Rylander

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1 paper

Recent·Most cited

Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditions

Y.-I. Chen, Y.-J. Chang, S.-C. Liao, T. D. Nguyen, J. Yang, Y.-A. Kuo, S. Hong, Y.-L. Liu, H. G. Rylander, S. R. Santacruz, T. E. Yankeelov, H.-C. Yeh

This paper introduces flimGANE, a deep learning method that rapidly and accurately generates FLIM images in low-photon conditions, outperforming traditional methods in speed and analysis accuracy.

bioRxiv · Dec 2, 2020 · PreprintCell Biology