Cody L. Arbuckle
Erik J. Linstead
ABSTRACT
The effective classification and tracking of cells obtained from modern staining techniques has significant limitations due to the necessity of having to train and utilize a human expert in the field who must manually identify each cell in each slide. Often times these slides are filled with noise cells that are not of particular interest to the researcher. The use of computational methods has the ability to effectively and efficiently enhance image quality, as well as identify and track target cell types over large data sets. Here we present a computational approach to the in vitro tracking of T cells in time-lapse imagery capable of scaling to hundreds of cells and applicable to multiple staining techniques.
- J. W. Griffith and A. D. Luster. Targeting cells in motion: Migrating toward improved therapies. European Journal of Immunology, 43:1430--1435, 2013.Google Scholar
Cross Ref
- Y. H. Kwak, M. S. Hong, and S. S. Park. A single cell tracking system in real-time. Cellular Immunology, 265:44--49, 2010.Google ScholarCross Ref
- K. Li, E. D. Miller, M. Chen, et al. Cell population tracking and lineage construction with spatiotemporal contest, medical image analysis. 12:546--566, 2008.Google Scholar
- E. Meijering, O. Dzyubachyk, I. Smal, and W. A. V. Cappelen. Tracking in cell and developmental biology. Seminars in Cell and Developmental Biology, 20:894--902, 2009.Google ScholarCross Ref
- M. J. Miller, S. H. Wei, I. Parker, and M. D. Cahalan. Two-photon imaging of lymphocyte motility and anitgen response in intact lymph node. Science, 296:869--1873, 2002.Google ScholarCross Ref
- A. Smith, M. Bracke, and N. H. B Leitinger, J. C. Porter. Lfa-1-induced T cell migration on ICAM-1 involves regulation of MLCK-mediated attachment and ROCK-dependent detachment. Journal of Cell Science, 116:3123--3133, 2003.Google ScholarCross Ref
Index Terms
Detection and tracking of T cells in time-lapse imaging
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