PixelPatrol: Scientific Image Quality Control

PixelPatrol is an early-version quality control and data exploration tool for scientific image datasets, acting as an essential first step for you to understand your dataset before computationally intensive analysis.

It systematically profiles your data, generating interactive dashboard reports with statistics and visualizations to ensure data integrity and quality.

Key Features:

• Dataset-wide visualization: see distributions of file/image metadata and pixel data
• Early issue identification: helps you find outliers and inconsistencies
• Experimental comparison: easily compare characteristics and quality across different experimental conditions
• Modular & extensible: supports custom loaders (like BioIO/Zarr) and visualizations

PixelPatrol helps researchers proactively understand and debug their image datasets ensuring reliable, reproducible scientific findings.

Explore PixelPatrol