15 May 2003 Time-lapse microscopy and image processing for stem cell research: modeling cell migration
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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.
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Tomas Gustavsson, Tomas Gustavsson, Karin Althoff, Karin Althoff, Johan Degerman, Johan Degerman, Torsten Olsson, Torsten Olsson, Ann-Catrin Thoreson, Ann-Catrin Thoreson, Thorleif Thorlin, Thorleif Thorlin, Peter Eriksson, Peter Eriksson, } "Time-lapse microscopy and image processing for stem cell research: modeling cell migration", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.484301; https://doi.org/10.1117/12.484301
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