Figure 4.

Distinct movement types and morphotypes are highly correlated. A) PCA of 350 bots forming 3 morphotypical clusters, showing that there is significant overlap between these clusters and the separately marked non‐movers, linear and circulars. Red dashed circles mark specific examples featured in panel B, selected from the cluster edges for distinct representation. B) Sample morphotype examples from each cluster, corresponding to Cluster 1, 2 and 3 and Nonmover, Linear, and Circular, respectively chosen for their ability to best represent the morphotype versus movement type mapping. Scalebar 50 uM and applies to all three bots. C) Waddington landscape illustrating the logic of determination of bot behavior and their relation to morphotypical indices with end behavioral products, as well as the potential states possible at each level of bifurcation of the bots’ development. (Waddington Landscape image modified from J. Ferrell, 2012.) D) PCA and unsupervised clustering showing the polarization among linear and circular bots in respect to bilateral symmetry metrics. E) Difference in asymmetry of cilia distribution between the movement axis and its 90‐degree offset axis. Here, n = 15 and 13 for Circulars and Linear respectively, with p = 0.0482 and 0.1116 done by one‐sample t‐test for each with alternative hypothesis.