When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis

A key step toward biologically interpretable analysis of microscopy image-based assays is rigorous quantitative validation with metrics appropriate for the particular application in use. Here we describe this challenge for both classical and modern deep learning-based image analysis approaches and d...

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Bibliographic Details
Published in:Nature methods Vol. 20; no. 7; pp. 968 - 970
Main Authors: Chen, Jianxu, Viana, Matheus P., Rafelski, Susanne M.
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01.07.2023
Nature Publishing Group
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ISSN:1548-7091, 1548-7105, 1548-7105
Online Access:Get full text
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