GBIQ: a non-arbitrary, non-biased method for quantification of fluorescent images
Non-arbitrary and non-biased quantification of fluorescent images is an essential tool for the data-centric approach to biological systems. Typical application is high-content analysis, where various phenotypic changes in cellular components and/or morphology are measured from fluorescent image data...
Main Authors: | Ninomiya, Youichirou, Zhao, Wei, Saga, Yumiko |
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Format: | Online |
Language: | English |
Published: |
Nature Publishing Group
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876397/ |
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