作者: William J. Kowalski , Fangping Yuan , Takeichiro Nakane , Hidetoshi Masumoto , Marc Dwenger
DOI: 10.1017/S1431927617000666
关键词:
摘要: Biological tissues have complex, three-dimensional (3D) organizations of cells and matrix factors that provide the architecture necessary to meet morphogenic functional demands. Disordered cell alignment is associated with congenital heart disease, cardiomyopathy, neurodegenerative diseases repairing or replacing these using engineered constructs may improve regenerative capacity. However, optimizing within requires quantitative 3D data on orientations both efficient validated processing algorithms. We developed an automated method measure local based structure tensor analysis incorporated adaptive subregion size account for multiple scales. Our calculates statistical concentration parameter, κ, quantify alignment, as well traditional orientational order parameter. our synthetic images accurately measured principal axis concentration. then applied confocal stacks cleared, whole-mount cardiac generated from human-induced pluripotent stem embryonic chick quantified cardiomyocyte alignment. found significant differences in cellular composition tissue geometry. These results demonstrate efficiency accuracy tissues.