Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes.

ABSTRACT: Correct cell/cell interactions and motion dynamics are fundamental in tissue homeostasis, and defects in these cellular processes cause diseases. Therefore, there is strong interest in identifying factors, including drug candidates that affect cell/cell interactions and motion dynamics. However, existing quantitative tools for systematically interrogating complex motion phenotypes in timelapse datasets are limited. We present Motion Sensing Superpixels (MOSES), a computational framework that measures and characterises biological motion with a unique superpixel 'mesh' formulation. Using published datasets, MOSES demonstrates single-cell tracking capability and more advanced population quantification than Particle Image Velocimetry approaches. From > 190 co-culture videos, MOSES motion-mappe

SUBMITTER: Zhou FY 

PROVIDER: S-EPMC6391079 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature