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When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis
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Journal Article
When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis
2023
Overview
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 discuss possible solutions for automating and streamlining the validation process in the next five to ten years.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
