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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.

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyslid-0.1.0.tar.gz (34.1 kB) Copy SHA256 hash SHA256 Source None Feb 13, 2014

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