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Proceedings Paper

Time-lapse microscopy and image processing for stem cell research: modeling cell migration
Author(s): Tomas Gustavsson; Karin Althoff; Johan Degerman; Torsten Olsson; Ann-Catrin Thoreson; Thorleif Thorlin; Peter Eriksson
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Paper Abstract

This paper presents hardware and software procedures for automated cell tracking and migration modeling. A time-lapse microscopy system equipped with a computer controllable motorized stage was developed. The performance of this stage was improved by incorporating software algorithms for stage motion displacement compensation and auto focus. The microscope is suitable for in-vitro stem cell studies and allows for multiple cell culture image sequence acquisition. This enables comparative studies concerning rate of cell splits, average cell motion velocity, cell motion as a function of cell sample density and many more. Several cell segmentation procedures are described as well as a cell tracking algorithm. Statistical methods for describing cell migration patterns are presented. In particular, the Hidden Markov Model (HMM) was investigated. Results indicate that if the cell motion can be described as a non-stationary stochastic process, then the HMM can adequately model aspects of its dynamic behavior.

Paper Details

Date Published: 15 May 2003
PDF: 15 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.484301
Show Author Affiliations
Tomas Gustavsson, Chalmers Univ. of Technology (Sweden)
Karin Althoff, Chalmers Univ. of Technology (Sweden)
Johan Degerman, Chalmers Univ. of Technology (Sweden)
Torsten Olsson, Chalmers Univ. of Technology (Sweden)
Ann-Catrin Thoreson, Göteborg Univ. (Sweden)
Thorleif Thorlin, Göteborg Univ. (Sweden)
Peter Eriksson, Göteborg Univ. (Sweden)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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