Fig. 6: Demonstration of full-field displacement estimation. | npj Artificial Intelligence

Fig. 6: Demonstration of full-field displacement estimation.

From: Estimating full-field displacement in biological images using deep learning

Fig. 6

a Beating mouse cardiomyocytes imaged with DICM show a regular beating pace from the mean displacement magnitude across frames. Snapshots of displacement field vectors are from (a)(i) primary and (a) (ii) secondary peaks. b Displacement projected along the r1r2 vector from a video of two pulsating Drosophila LECs (confocal microscopy, F-actin, GMA-GFP) marked by the dashed white line. Insets show the displacement phasor maps at frames (b)(i) and (b)(ii). (c) Local compressive strain maps (− dV/V) false-coloured as hue shifts in image frames of a constricting Drosophila LEC (confocal microscopy, myosin, Sqh::GFP), unseen by network training. Scale bars are 20 μm.

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