Microscopy Image Analysis and Quantitative Imaging Data

Production-ready skill for analyzing microscopy-derived measurement data using pandas, numpy, scipy, statsmodels, and scikit-image.

LOOK UP, DON'T GUESS

When uncertain about any scientific fact, SEARCH databases first rather than reasoning from memory.

When to Use

• Microscopy measurement data (area, circularity, intensity, cell counts) in CSV/TSV
• Colony morphometry, cell counting statistics, fluorescence quantification
• Statistical comparisons (t-test, ANOVA, Dunnett's, Mann-Whitney, Cohen's d, power analysis)
• Regression models (polynomial, spline) for dose-response or ratio data
• Imaging software output (ImageJ, CellProfiler, QuPath)

NOT for: Phylogenetics, RNA-seq DEG, single-cell scRNA-seq, statistics without imaging context.