High-Content Digital Microscopy enhances user comfort, data storage and analysis throughput, paving the way to new researches and medical diagnostics. A digital microscopy platform aims at capturing an image of a cover slip, at storing information on a file server and a database, at visualising the image and analysing its content. We will discuss how the Python ecosystem can provide such software framework efficiently. Moreover this paper will give an illustration of the data chunking approach to manage the huge amount of data.
@article{arxiv.1404.6385,
title = {High-Content Digital Microscopy with Python},
author = {Fabrice Salvaire},
journal= {arXiv preprint arXiv:1404.6385},
year = {2014}
}
Comments
Part of the Proceedings of the 6th European Conference on Python in Science (EuroSciPy 2013), Pierre de Buyl and Nelle Varoquaux editors, (2014)