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Guoqiang Yu

Tsinghua University

Beijing, 100084

China

  • Tsinghua University

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Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals

Number of pages: 52 Posted: 07 Jun 2024
Xuelong Mi, Alex Bo-Yuan Chen, Daniela Duarte, Erin Carey, Charlotte R. Taylor, Philipp N. Braaker, Mark Bright, Rafael G. Almeida, Jing-Xuan Lim, Virginia M. S. Ruetten, Wei Zheng, Mengfan Wang, Michael E. Reitman, Yizhi Wang, Kira E. Poskanzer, David A. Lyons, Axel Nimmerjahn, Misha Ahrens and Guoqiang Yu
Virginia Tech, Howard Hughes Medical Institute (HHMI) - Chevy Chase - Janelia Research Campus, Salk Institute for Biological Studies, Salk Institute for Biological Studies, University of California, San Francisco (UCSF), University of Edinburgh, Virginia Tech, University of Edinburgh, Howard Hughes Medical Institute (HHMI) - Chevy Chase - Janelia Research Campus, Howard Hughes Medical Institute (HHMI) - Chevy Chase - Janelia Research Campus, Virginia Tech, Virginia Tech, University of California, San Francisco (UCSF), Virginia Tech, University of California, San Francisco (UCSF), University of Edinburgh, Salk Institute for Biological Studies, Howard Hughes Medical Institute (HHMI) - Chevy Chase - Janelia Research Campus and Tsinghua University
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Abstract:

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AQuA2, molecular spatiotemporal signals, cell interaction analysis, functional units, time-lapse imaging, glial cells, astrocytes, neurons, image analysis, machine learning