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## PyPlaque python library
We now have started working on a Python 3 library for plaque analysis. Very first release has just been made available on: [https://pypi.org/project/PyPlaque/](https://pypi.org/project/PyPlaque/). The source code is available under [https://github.com/plaque2/PyPlaque](https://github.com/plaque2/PyPlaque).
## How to cite us:
Yakimovich, A., Andriasyan, V., Witte, R., Wang, I. H., Prasad, V., Suomalainen, M., & Greber, U. F. (2015). Plaque2. 0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion. PloS one, 10(9), [e0138760](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138760).
## About
Developed in 1950s, plaque assay started the era of the quantitative virology, allowing precise tittering and subsequent purification of infectious units from inoculae of various etiologies. However more than a means to titer viruses, *plaque assay* delivers phenotypes bearing information about the life cycle and spreading mechanism of viruses. Recent advance in automated high-throughput imaging and sCMOS camera technologies together with state-of-the-art image analysis algorithms can help harnessing this information. Here we present **Plaque2.0** – an assay framework bridging high-throughput high resolution midrange magnification imaging accompanied by image analysis software aimed at enabling researchers to maximize information they obtain from their plaque assays.
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## Short demo of the Plaque2.0 Software installation and usage:
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<iframe width="560" height="315" src="//www.youtube.com/embed/DAZ1OPXrW9A" frameborder="0" allowfullscreen></iframe>
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## Current Release: 2.0141118
The most recent version of the software is available in dev branch on GitHub for forking, cloning and download under GPLv3 open source license from [github.com/plaque2](http://github.com/plaque2).
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Copyright © 2014 - Artur Yakimovich and Vardan Andriasyan