Web Image Processing Pipeline (WIPP) has been designed for enabling interactive measurements and discoveries over very large images.
For more information, please, visit
the Activity web page.
For any questions or issues, please send an email to the WIPP team
NIST article and video: A Map App to Track Stem Cells,
NIST news, February 13, 2018
Web Microanalysis of Big Image Data
, published in January 2018 by Springer Verlag.
We recommend WIPP deployment using Docker containers. The deployment consists of installing
Docker engine, Docker swarm, and four Docker images (MongoDB, WIPP, EXEC, and Master).
WIPP deployment instructions (current version - 2.0.0)
WIPP deployment instructions (release 1.1.0)
WIPP deployment instructions (release 1.0.0)
A complete set of test data for testing WIPP image processing and feature extraction jobs
is provided with detailed instructions:
Download WIPP test datasets
Additional datasets are available:
5x5 Image Tile Dataset
Cy5 Test Images (~54MB)
Phase Test Images (~83MB)
10x10 Image Tile Dataset
Cy5 Test Images (~119MB)
Phase Test Images (~195MB)