Assignment of unimodal probability distribution models for quantitative morphological phenotyping

Abstract Background Cell morphology is a complex and integrative readout, and therefore, an attractive measurement for assessing the effects of genetic and chemical perturbations to cells. Microscopic images provide rich information on cell morpholog...

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Bibliographic Details
Main Authors: Ghanegolmohammadi, Farzan, Ohnuki, Shinsuke, Ohya, Yoshikazu
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: BioMed Central 2022
Online Access:https://hdl.handle.net/1721.1/141637