Abstract
Microscopy images of progenitor cells prepared with a specific epigenetic mark show its massive relocation during differentiation. We propose an image processing pipeline for the automated quantification of this relocation. A novel set of features which are extracted from polar representations of the microscopy images are used to construct a strong classifier via an adaptive boosting algorithm. In addition to the classification a measurement of the relocation in each nucleus is performed.
BibTeX
@inproceedings{Riess2011Automatedquantificationhistone,
address = {Boca Raton, Fla. [u.a.]},
author = {T. Rieß and C. Dietz and M. Horn and O. Deussen and M. Leist and T. Waldmann and D. Merhof},
booktitle = {Computational vision and medical image processing : VipImage 2011},
doi = {10.1201/b11570-83},
editor = {Tavares, João Manuel R. S},
isbn = {978-0-415-68395-1},
pages = {423--428},
publisher = {CRC Press},
title = {Automated quantification of histone relocation in cell nuclei},
year = {2011},
url = {http://graphics.uni-konstanz.de/publikationen/Riess2011Automatedquantificationhistone},
}