October 2018 News

Xiao Ma et. al. PLOS Computational Biology article featured in Science Trends

A paper by postdoctoral fellow Xiao Ma recently published in PLOS Computational Biology, Profiling cellular morphodynamics by spatiotemporal spectrum decomposition (Xiao Ma, Onur Dagliyan, Klaus M. Hahn, and Gaudenz Danuser,) was selected for highlighting in the form of a perspective article by Science Trends, which reports and shares the up-to-date outstanding scientific research progress for a large and global audience.

Fibroblast-like cells with different motility, and comparison between frequency and amplitude spectra. Upper panel: Cos7 cells representing active (a) and quiescent (b) motility with overlaid cell boundaries migrating from early (blue, 0 min) to late (red, 30 min) time points; scale bar = 20 μm. Bottom panel: Heatmaps of Kolmogorov-Smirnov (KS) statistics for instantaneous frequency (c) and amplitude (d) distributions among 48 spontaneously protruding Cos7 cells. The sequence of cells in the heatmap is defined in ascending order of the mean velocity over all cell edge locations and time points.