[HTML][HTML] Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system
J Huth, M Buchholz, JM Kraus, M Schmucker… - BMC cell biology, 2010 - Springer
BMC cell biology, 2010•Springer
Background Cell 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. Results We have quantitatively analyzed these error sources, demonstrating that …
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. Results We have quantitatively analyzed these error sources, demonstrating that …
Background
Cell 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.
Results
We have quantitatively analyzed these error sources, demonstrating that manual cell tracking of pancreatic cancer cells lead to mis-calculation of migration rates of up to 410%. In order to provide for objective measurements of cell migration rates, we have employed multi-target tracking technologies commonly used in radar applications to develop fully automated cell identification and tracking system suitable for high throughput screening of video sequences of unstained living cells.
Conclusion
We demonstrate that our automatic multi target tracking system identifies cell objects, follows individual cells and computes migration rates with high precision, clearly outperforming manual procedures.
Springer
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