Fig. 7: Single-cell bioimage analysis for feature extraction. | Microsystems & Nanoengineering

Fig. 7: Single-cell bioimage analysis for feature extraction.

From: Machine learning metrology of cell confinement in melt electrowritten three-dimensional biomaterial substrates

Fig. 7

a–d Performance demonstration of the proposed automated image processing algorithmic workflow using a representative cell cultured in the MEW|0–45° and SES-1 min for panels (ad) and (eh), respectively. a Colorized multi-channel maximum projection image obtained by combining three different single channel maximum projections. Single channel maximum projections are obtained by processing the Z-stack raw images. Red channel: cytoskeleton, blue channel: nucleus, green channel: vinculin. b Grayscale maximum projection of the red channel image overlaid with the contour of the segmented cell body. c Grayscale maximum projection of the blue channel image overlaid with the contour of the segmented nucleus. d Grayscale maximum projection of the green channel image overlaid with the contour of the segmented FAs. e Maximum projection of the green channel image of a representative cell cultured on SES-1 min. fi Performance demonstration of the proposed automated image processing algorithmic workflow for mature (f, g) and nascent (h, i) FA detection and segmentation based on individual FA area ([μm2], SI). The images in (f) and (h) are overlaid with the contour of all the segmented adhesion sites colorized based on their index number

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