Python package for image-based profiling
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Updated
Aug 5, 2026 - Python
Python package for image-based profiling
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
Predicting Cell Health with Morphological Profiles
Single-cell morphological analysis
Image-based Profiling Handbook
spaCR Spatial phenotype analysis of CRISPR–Cas9 screens (spaCR)
Recipe for profile creation for pooled image-based/morphological profiling (including Cell Painting) experiments
Exploratory data analysis for image-based morphological profiling
Implementation of DEEP-MAP (see reference)
Locked reanalysis of matched ORF and CRISPR Cell Painting profiles with manuscript, source data, and compact evidence bundle.
Discuss morphological profiling papers
Data repository for Sivagurunathan et al., 2025, "Alternate dyes for image-based profiling assays"
Batch integration for morphological profiling using variational inference
Validate the semantic correctness, metadata completeness, provenance and AI readiness of Cell Painting datasets represented in AnnData.
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