Graphical model for joint segmentation and tracking of multiple dividing cells

Abstract. Motivation: To gain fundamental insight into the development of embryos, biologists seek to understand the fate of each and every embryonic cell. For

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Bibliographic Details
Main Authors:	Schiegg, Martin (Author) , Hanslovsky, Philipp (Author) , Haubold, Carsten (Author) , Köthe, Ullrich (Author) , Hufnagel, Lars (Author) , Hamprecht, Fred (Author)
Format:	Article (Journal)
Language:	English
Published:	2015
In:	Bioinformatics Year: 2014, Volume: 31, Issue: 6, Pages: 948-956
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/btu764
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btu764 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/31/6/948/215669
Author Notes:	Martin Schiegg, Philipp Hanslovsky, Carsten Haubold, Ullrich Koethe, Lars Hufnagel and Fred A. Hamprecht

Description
Summary:	Abstract. Motivation: To gain fundamental insight into the development of embryos, biologists seek to understand the fate of each and every embryonic cell. For
Item Description:	Published 17 November 2014 Gesehen am 24.06.2020
Physical Description:	Online Resource
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/btu764