Figure 4.

Automated analysis of wound healing images. (A) An image showing normal migration and the same image after automated analysis defines regions. Extracting characteristics of the lamellar region (blue) allows us to distinguish between the phenotypes that affect wound healing (Figure 1). Stains: red – filamentous actin; green – DNA. Bar 100 μm. (B) Automated and visual analysis are complementary approaches. Automatically generated lamellar width data is plotted for a 384 well plate. Compounds found to affect wound healing by visual analysis are shown in green, and wells that differed from the control in other ways (increased mitotics, a disrupted monolayer, etc.) are shown in red. Mean lamellar width (black line) and three standard deviations (red dashed lines) are plotted for control wells. Data collected from screening one 384 well plate of small molecules.