Skip to main content
Fig. 2 | BMC Molecular and Cell Biology

Fig. 2

From: Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB

Fig. 2

Detection of initial cell density by means of adaptive threshold method, intelligent cell detection (iCD), and manual detection. HCAECs were seeded in a 2-well insert (ibidi) and grown to confluency. Subsequently, the insert was removed to generate a defined gap between two monolayers of HCAECs. Over a period of 15 h gap closure was monitored by live cell imaging under dynamic conditions applying a shear stress of 1.5 Pa. a Shown here is a representative image of gap closure at t = 7.5 h after removal of the insert. b The cell density [cell counts / mm] was obtained by column wise averaging of the Y-coordinate of the live-cell image. The manually marked cell centers and the corresponding cell density distribution are in green, the iCD detection is in blue and the adaptive threshold detection is plotted in red

Back to article page