@article{c3023618cfbd4ee0a6916416428876c8,
title = "High content cellular imaging for drug development",
abstract = "High content screening (HCS) has emerged as a promising solution to improve the quality of decisionmaking in drug development. However, tools required for processing and analyzing HCS data are rather immature. This paper discusses the bioinformatics issues related to HCS and presents a bioinformatics pipeline for HCS drug development. It reviews advanced methods for bioimage processing, cell segmentation, neurite centerline extraction, and cell tracking and registration in the context of HCS of different bioassays. These methods prove that HCS is potentially a powerful tool in quantitative cell biology and drug discovery.",
author = "Xiaobo Zhou and Wong, {Stephen T.C.}",
note = "Funding Information: The authors acknowledge rewarding col laborations with biology colleagues Timothy Mitchison, Junying Yuan, Randall King, and Norbert Perrimon at Harvard Medical School. The images in this article were supplied by our collaborators. The image processing and computational modeling work is the original contribution of the authors with the input from L. Ji and G. Xiong at Tsinghua University, and other members of life science imaging group of HCNR-Center for Bioinformatics, notably Yong Zhang, Xiaowei Chen, Jun Yuan, Xiaoyin Xu, Jinmin Zhu, Kuang-Yu Liu, and Xinhua Cao. This research is funded by the HCNR Center for Bioinformatics, Harvard Medical School, and the NIH R01 LM008696 Grant. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",
year = "2006",
month = mar,
doi = "10.1109/MSP.2006.1598095",
language = "English (US)",
volume = "23",
pages = "170--174",
journal = "IEEE Signal Processing Magazine",
issn = "1053-5888",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",
}