In Flow Cytometry, Image Is Everything

Cytometry A. 2019 May;95(5):475-477. doi: 10.1002/cyto.a.23778. Epub 2019 May 3.

Authors

Keisuke Goda^{1

2

3}, Andrew Filby⁴, Nao Nitta^{1

2}

Affiliations

¹ Department of Chemistry, University of Tokyo, Tokyo, Japan.
² Japan Science and Technology Agency, Kawaguchi, Japan.
³ Institute of Technological Sciences, Wuhan University, Wuhan, China.
⁴ Newcastle Upon Tyne University, Faculty of Medical Sciences, Bioscience Centre, International Centre for life, Newcastle Upon Tyne, UK.

PMID: 31050393
DOI: 10.1002/cyto.a.23778

No abstract available

Keywords: deep learning; high-content screening; image-activated cell sorting; imaging flow cytometry.

Publication types

Editorial
Historical Article
Introductory Journal Article

MeSH terms

DNA Damage
History, 20th Century
Humans
Image Cytometry / history
Image Cytometry / methods*
Image Processing, Computer-Assisted*
Publications
Scattering, Radiation