Pixel Patrol
Pixel Patrol
Image datasets are rarely as clean or consistent as they appear. Pixel Patrol scans your collection - from a single image to millions of files - and produces a structured, interactive browser report: file metadata, pixel statistics, quality metrics, and per-dimension breakdowns. Get immediate results, compare conditions, catch outliers, verify batch consistency, and get the full picture before you use your dataset.
Your data stays local - nothing is uploaded.
Set up a directory and a few parameters. Pixel Patrol handles the rest.
Point to any folder. Common formats supported, subdirectories walked automatically.
Files scanned in parallel. Pixel statistics, quality metrics, and metadata extracted in one pass.
Results written to a compact, portable Parquet file - ready to share or load into other tools.
Open in any browser. Group, filter, compare distributions, inspect images.
The Parquet file is the report. Anyone opens it in the hosted viewer - no installation required.
Compare conditions with violin plots, histograms, and distributions. Change groupings interactively - no reprocessing needed.
Statistics per Z, T, C slice - not just per file. Detect drift, photobleaching, and channel artifacts at a glance.
Runs across all CPUs using Dask. Connect to an HPC cluster to process terabyte-scale datasets in minutes.
Large images processed in chunks. Container files (LMDB, OME-TIFF) supported, each sub-image as an individual entry.
Add loaders, processors, and viewer widgets as Python packages. Discovered automatically at runtime.
Benchmarks run on HPC infrastructure across multiple nodes.