NuSeT: A deep learning tool for reliably separating and analyzing crowded cells is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 103 times.
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Foundation for the National Institutes of Health
Grant: GM77856
NCI Physical Sciences Oncology Center Grant
Grant: U54CA143836
National Institute of Biomedical Imaging and Bioengineering
Grant: 1U01EB021237
NIBIB NIH HHS
Grant: U01 EB021237
NIGMS NIH HHS
Grant: R01 GM077856
National Institutes of Health
Grant: 5R01GM077856-04
Plasmon Rulers
National Institutes of Health
Grant: 1U01EB021237-01
Deep Super-localization Microscopy and Effectively Unbleachable Labeling for 4D Nucleomics
National Institutes of Health
Grant: 5U54CA143836-04
Fundamental Mechano-Chemical Mechanisms of Signaling in Cancer
FWCI
14.71
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals