DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes
2021 · Nature Methods · 155 citations
https://doi.org/10.1038/s41592-020-01023-0
T
Takamasa Kudo
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Takamasa Kudo is an academic researcher from Gene Therapy Laboratory. The author has contributed to research in topics: Hydrogen embrittlement and corrosion behaviors in metals & Cell Image Analysis Techniques & Corrosion Behavior and Inhibition. The author has an h-index of 28, co-authored 77 publications.
ORCID: 0000-0002-9709-5549Papers by this author
worksControlling low rates of cell differentiation through noise and ultrahigh feedback
2014 · Science · 102 citations
https://doi.org/10.1126/science.1252079
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
2018 · Scientific Reports · 38 citations
https://doi.org/10.1038/s41598-018-29768-x
Cell-to-cell variability in Myc dynamics drives transcriptional heterogeneity in cancer cells
2023 · Cell Reports · 27 citations
https://doi.org/10.1016/j.celrep.2023.112401
Comparison of segmentation performance among different segmentation algorithms and datasets.
2016 · Figshare · 0 citations
https://doi.org/10.1371/journal.pcbi.1005177.t001
Sample images from live-cell experiments that were segmented using conv-nets.
2016 · Figshare · 0 citations
https://doi.org/10.1371/journal.pcbi.1005177.g002
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