@inproceedings{0a28c651c18d4056809ef15f6957da02,
title = "Analysis of high-throughput microscopy videos: Catching up with cell dynamics",
abstract = "We present a novel framework for high-throughput cell lineage analysis in time-lapse microscopy images. Our algorithm ties together two fundamental aspects of cell lineage construction, namely cell segmentation and tracking, via a Bayesian inference of dynamic models. The proposed contribution exploits the Kalman inference problem by estimating the time-wise cell shape uncertainty in addition to cell trajectory. These inferred cell properties are combined with the observed image measurements within a fast marching (FM) algorithm, to achieve posterior probabilities for cell segmentation and association. Highly accurate results on two different cell-tracking datasets are presented.",
author = "A. Arbelle and N. Drayman and M. Bray and U. Alon and A. Carpenter and Raviv, {T. Riklin}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 ; Conference date: 05-10-2015 Through 09-10-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-24574-4_26",
language = "American English",
isbn = "9783319245737",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "218--225",
editor = "Frangi, {Alejandro F.} and Nassir Navab and Joachim Hornegger and Wells, {William M.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings",
address = "Germany",
}