Author

Y.-I. Chen

Primary ORCID profile (0000-0001-6429-4261 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Y.-I. CheniD1 paper · The University of Texas at Austin

Biology Disciplines

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Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

H.-C. Yeh· 2 shared S. Hong· 2 shared T. D. Nguyen· 2 shared Y.-A. Kuo· 2 shared C. Jung· 1 shared D. C. Wylie· 1 shared H. G. Rylander· 1 shared H.-C. Kuo· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioengineering

H.-C. Yeh

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Massively Parallel Selection of NanoCluster Beacons

Y.-A. Kuo, C. Jung, Y.-A. Chen, H.-C. Kuo, O. S. Zhao, T. D. Nguyen, J. R. Rybarski, S. Hong, Y.-I. Chen, D. C. Wylie, J. A. Hawkins, J. N. Walker, S. W. Shields, J. S. Brodbelt, J. T. Petty, , H.-C. Yeh

The paper develops a high-throughput method to screen and design multicolor NanoCluster Beacons using NGS chips and machine learning.

bioRxiv · Dec 4, 2021Bioengineering

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