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. 2019 Jan 18;20:39. doi: 10.1186/s12859-019-2602-2

Fig. 1.

Fig. 1

Exemplary output of cellular detection from leaky DRAQ5 staining and evaluation of the automated segmentation algorithm. a Z-projected DRAQ5 signal. b Z-projected brightfield (transmitted laser light) image. Inset shows an example of undersegmented cells. Red lines in a and b are segmentation lines produced by our algorithm. c Quantitative evaluation of the segmentation algorithm showed mean accuracy, sensitivity, and correct segmentation values of 92, 94, and 86%, respectively, when compared to human detections (from three individuals, each with more than three years of experience in cell culture). The specific categories are defined in the Methods section. The evaluation was performed on 136 cells in n = 8 images from two experiments. Scale bar is 100 μm