Stellar quality control for single-cell image-based profiling with coSMicQC

Abstract excerpt

Over the past twenty years, high-content imaging has transformed our ability to measure cell phenotypes. The need to bioinformatically process these phenotypes led to the development of a research field called image-based profiling. However, because the standard image-based profiling approach involves averaging data, single-cell quality control (QC) has been historically ignored. The conventional approach of aggre...

Topics

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• Algorithms
• Artifacts
• Cells
• Image Processing, Computer-Assisted
• Machine Learning
• Quality Control
• Support Vector Machine
• Workflow

Identifiers and source

Literature Corpus work

372cc5e9-8d9b-500c-9b3d-cf9d05e3c5eb

DOI

10.1101/2025.10.14.682427