Extended Data Fig. 9: Automatic detection of developmental epochs and transitions in three-spined stickleback (Gasterosteus aculeatus) embryos.
From: Uncovering developmental time and tempo using deep learning
The Twin Network detects and partitions embryo development into phases that are in line with the classical stickleback staging atlas9. (a) A selected set of images from autostages and boundaries for a single embryo. (b) Calculated similarities used as the basis for the depicted images. (c) Time points in the classical staging atlas9 are shown at the top. Autostages were calculated based on phases of high similarity in embryo morphology; n = 1 representative out of 56 embryos. Images in (a) correspond to the pictograms in (c) at the indicated timepoints. Scale bars, 500 μm. Raw data for analysis from https://doi.org/10.48606/15.
