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Automatic Tracking of Neural Stem Cells
Harbin Engineering University, China. (Information and Communication Institute)
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2005 (English)In: WDIC 2005: Workshop Proceedings, 2005, 61-66 p.Conference paper, Published paper (Refereed)
Abstract [en]

In order to understand the development of stem-cells into specialized mature cells it is necessary to study the growth of cells in culture. For this purpose it is very useful to have an efficient computerized cell tracking system. In this paper a prototype system for tracking neural stem cells in a sequence of images is described. The system is automatic as far as possible but in order to get as complete and correct tracking results as possible the user can interactively verify and correct the crucial starting segmentation of the first frame and inspect the final result and correct errors if nec-

essary. All cells are classified into inactive, active, dividing and clustered cells. Different algorithms are used to deal with the different cell categories. A special backtracking step is used to automatically correct for some common errors that appear in the initial forward tracking process.

Place, publisher, year, edition, pages
2005. 61-66 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-76148ISBN: ISBN 0-9580255-3-3 (print)OAI: oai:DiVA.org:uu-76148DiVA: diva2:104060
Available from: 2006-02-27 Created: 2006-02-27 Last updated: 2017-02-08

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Bengtsson, Ewert

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