TY - JOUR
T1 - Decomposition cross-correlation for analysis of collagen matrix deformation by single smooth muscle cells
AU - van den Akker, Jeroen
AU - Pistea, Adrian
AU - Bakker, Erik N. T. P.
AU - VanBavel, Ed
PY - 2008
Y1 - 2008
N2 - 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
AB - 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
U2 - https://doi.org/10.1007/s11517-008-0325-z
DO - https://doi.org/10.1007/s11517-008-0325-z
M3 - Article
C2 - 18324432
SN - 0140-0118
VL - 46
SP - 443
EP - 450
JO - Medical & Biological Engineering & Computing
JF - Medical & Biological Engineering & Computing
IS - 5
ER -