Skip to main content

Protein Subcellular Location Image Database for OMERO

Project description

About

pyslid is a python package that calculates numerical feature sets to describe the subcellular patterns in fluorescence microscope images. The features can be used for image content-based searching in the Open Microscopy Environment using ricerca and OMERO.searcher.

For more information about pyslid, please visit http://murphylab.web.cmu.edu/software/pyslid/

Authors

Ivan Cao-Berg, Baek Hwan Cho, Jennifer Bakal and Robert F. Murphy
Lane Center for Computational Biology
School of Computer Science
Carnegie Mellon University

References

  • B.H. Cho, I. Cao-Berg, J.A. Bakal, and R.F. Murphy (2012) OMERO.searcher: Content-based image search for microscope images. Nature Methods 9:633-634.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyslid-0.1.0.tar.gz (34.1 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page