Single-cell hit calling in high-content imaging screens with Buscar

Abstract excerpt

High-content screening (HCS) enables the systematic quantification of single-cell morphology features across thousands of perturbations, capturing rich phenotypic heterogeneity. Image-based profiling is a critical bioinformatics processing step in this pipeline, as researchers use it to predict mechanisms of action, assess toxicity, perform hit calling, and more. However, current image-based profiling workflows re...

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

d18ed5da-4c6a-565d-83b7-232a217480b7

DOI

10.64898/2026.04.15.718737