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Springer, Medical and Biological Engineering and Computing, 5(46), p. 517-517, 2008

DOI: 10.1007/s11517-008-0337-8

Springer, Medical and Biological Engineering and Computing, 5(46), p. 443-450, 2008

DOI: 10.1007/s11517-008-0325-z

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Decomposition cross-correlation for analysis of collagen matrix deformation by single smooth muscle cells

Journal article published in 2008 by Jeroen Akker, Ed vanBavel, Jeroen van den Akker, Adrian Pistea, Bakker Entp, Erik N. T. P. Bakker ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Microvascular remodeling is known to depend on cellular interactions with matrix tissue. However, it is difficult to study the role of specific cells or matrix elements in an in vivo setting. The aim of this study is to develop an automated technique that can be employed to obtain and analyze local collagen matrix remodeling by single smooth muscle cells. We combined a motorized microscopic setup and time-lapse video microscopy with a new cross-correlation based image analysis algorithm to enable automated recording of cell-induced matrix reorganization. This method rendered 60–90 single cell studies per experiment, for which collagen deformation over time could be automatically derived. Thus, the current setup offers a tool to systematically study different components active in matrix remodeling.