Fig. 2: Biophysically driven 3D spheroid simulations from real-image data reveal cell morphology variability across Monte Carlo steps (MCS), while preserving the distribution of morphological features throughout the spheroid. | Communications Biology

Fig. 2: Biophysically driven 3D spheroid simulations from real-image data reveal cell morphology variability across Monte Carlo steps (MCS), while preserving the distribution of morphological features throughout the spheroid.

From: Improving 3D deep learning segmentation with biophysically motivated cell synthesis

Fig. 2

A 3D maximum projection of membrane marker SiR-actin (gray, far left), overlay with label masks (second from the left), and snapshots of the corresponding CPM simulation of morphological changes at the start (middle, 0 MCS), middle (second from the right, 400 MCS) and end (far right, 1000 MCS) of the simulation. B Zoom images of the simulation steps shown in (A). Scale bars: A 25 μm, B 15 μm.

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