Automated Methods for the Analysis of Skeletal Muscle Fiber Size and Metabolic Type - International Review of Cell and Molecular Biology - page 293

Figure 7.4 Similarities in cadherin labeling of confluent cultured cells and laminin label-
ing of skeletal muscle tissue sections. (A) Human microvascular endothelial cells visual-
ized for nuclei (blue) and VE-cadherin (green). (B) The membrane mask (gray scale)
derived from the VE-cadherin labeling in (A) by CyteSeer ® 's Membrane Analysis Algo-
rithm. (C) An image from rat skeletal muscle labeled for laminin (red) (imaged at Vala
Sciences Inc.), in which (blue) were added to the center of each fiber

to provide a reference point. (D) The mask derived for laminin labeling from (C) by the
Membrane Analysis Algorithm.

“ artificial nuclei ”

which is funded by a Small Business Technology Transfer grant (NIH/
NIAMS, R42AR055604 “Automated Analysis of Skeletal Muscle Fiber
Cross-sectional Area and Metabolic Type,” initiated in 2008).

6.1.1 Development and validation of CyteSeer ® ' s Skeletal
Muscle Algorithm
Vala's software engineers were soon able to develop a functional Skeletal
Muscle Analysis Algorithm by utilizing the Membrane Algorithm as a
starting point. Since in mature skeletal muscle fibers nuclei have peripheral
location, initial CyteSeer ® 's Membrane Algorithm required substantial
modifications. This was done by developing methods for estimating central
points within the semicircular shapes enclosed by the laminin label and by