Empowering High-Throughput High-Content Analysis of Microphysiological Models: Open-Source Software for Automated Image Analysis of Microvessel Formation and Cell Invasion
Authors
Kaitlin C. Fogg (ORCID: https://orcid.org/0000-0003-3572-778X)
Marian H. Hettiaratchi (ORCID: https://orcid.org/0000-0001-8187-4575)
Laurel E. Hind (ORCID: https://orcid.org/0000-0002-2791-668X)
Ines Cadena
Yoanna I. Ivanova
Noah Wiggin
Salam Rahal-Arabi
Chandler L. Asnes (ORCID: https://orcid.org/0000-0003-3849-3675)
Division of Chemical, Bioengineering, Environmental, and Transport Systems
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article
Empowering High-Throughput High-Content Analysis of Microphysiological Models: Open-Source Software for Automated Image Analysis of Microvessel Formation and Cell Invasion
Kaitlin C. Fogg, Marian H. Hettiaratchi, Laurel E. Hind, Ines Cadena et al.
Citations
1 citations
Journal
Cellular and Molecular Bioengineering
Topics
Cell Image Analysis Techniques
Field-Weighted Citation Impact (FWCI)
0.66
article
Empowering High-Throughput High-Content Analysis of Microphysiological Models: Open-Source Software for Automated Image Analysis of Microvessel Formation and Cell Invasion
Kaitlin C. Fogg, Marian H. Hettiaratchi, Laurel E. Hind, Ines Cadena, Yoanna I. Ivanova, Noah Wiggin, Salam Rahal-Arabi, Chandler L. Asnes, C. Cook, Mitchell Black
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
Cellular and Molecular BioengineeringVol. 17(5)
Institutions
Oregon State University (US), University of Oregon (US), University of Colorado Boulder (US)
Funders
National Science Foundation, National Institutes of Health, National Institute of Mental Health, National Institute of General Medical Sciences, Division of Chemical, Bioengineering, Environmental, and Transport Systems