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A model-based approach for automated in vitro cell tracking and chemotaxis analyses

✍ Scribed by Olivier Debeir; Isabelle Camby; Robert Kiss; Philippe Van Ham; Christine Decaestecker


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
537 KB
Volume
60A
Category
Article
ISSN
0196-4763

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✦ Synopsis


Abstract

Background

Chemotaxis may be studied in two main ways: 1) counting cells passing through an insert (e.g., using Boyden chambers), and 2) directly observing cell cultures (e.g., using Dunn chambers), both in response to stationary concentration gradients. This article promotes the use of Dunn chambers and in vitro cell‐tracking, achieved by video microscopy coupled with automatic image analysis software, in order to extract quantitative and qualitative measurements characterizing the response of cells to a diffusible chemical agent.

Methods

Previously, we set up a videomicroscopy system coupled with image analysis software that was able to compute cell trajectories from in vitro cell cultures. In the present study, we are introducing a new software increasing the application field of this system to chemotaxis studies. This software is based on an adapted version of the active contour methodology, enabling each cell to be efficiently tracked for hours and resulting in detailed descriptions of individual cell trajectories. The major advantages of this method come from an improved robustness with respect to variability in cell morphologies between different cell lines and dynamical changes in cell shape during cell migration. Moreover, the software includes a very small number of parameters which do not require overly
sensitive tuning. Finally, the running time of the software is very short, allowing improved possibilities in acquisition frequency and, consequently, improved descriptions of complex cell trajectories, i.e. trajectories including cell division and cell crossing.

Results

We validated this software on several artificial and real cell culture experiments in Dunn chambers also including comparisons with manual (human‐controlled) analyses.

Conclusions

We developed new software and data analysis tools for automated cell tracking which enable cell chemotaxis to be efficiently analyzed. Β© 2004 Wiley‐Liss, Inc.


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