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Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system |
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| Authors: | Johannes Huth Malte Buchholz Johann M Kraus Martin Schmucker Götz von Wichert Denis Krndija Thomas Seufferlein Thomas M Gress Hans A Kestler |
| Institution: | (1) Research group of Bioinformatics and Systems Biology, Institute of Neural Information Processing, Ulm University, Albert-Einstein-Allee 11, D-89081 Ulm, Germany;(2) Department of Gastroenterology and Endocrinology, University Hospital of Marburg, Germany;(3) Clinic of Internal Medicine I, Medical Centre Ulm University, Albert-Einstein-Allee 23, D-89081 Ulm, Germany;(4) Department of Internal Medicine I, Martin-Luther-University, Halle-Wittenberg, Germany |
| Abstract: | BackgroundCell motility is a critical parameter in many physiological as well as pathophysiological processes. In time-lapse video microscopy, manual cell tracking remains the most common method of analyzing migratory behavior of cell populations. In addition to being labor-intensive, this method is susceptible to user-dependent errors regarding the selection of "representative" subsets of cells and manual determination of precise cell positions. |
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