Fig. 2: Self-supervised learning segmentation approach for a range of cell types, optical modalities, and magnifications. | Communications Biology

Fig. 2: Self-supervised learning segmentation approach for a range of cell types, optical modalities, and magnifications.

From: A self-supervised learning approach for high throughput and high content cell segmentation

Fig. 2

Phase contrast image of a MDA-MB-231 (10X objective), bright-field image of b MDA-MB-231 (40X objective), (c) DIC image of MDA-MB-231 (i) (20X objective) and S. cerevisiae (ii) (63X objective), (d) IRM image of Hs27 (40X objective), (e) epifluorescence images of (i), (ii) A549 cells with lifeAct (GFP-actin conjugate, 100X objective) and (iii, (iv) MDA-MB-231 (F-actin (red) and vinculin (green) expression, 63X objective). Yellow borders show SSL segmentation results. Scale bar a: 50 µm, b: 10 µm, c.i: 25 µm, c.ii: 5 µm, d: 20 µm and e: 20 µm.

Back to article page