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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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Characterization of Biological Motion Using Motion Sensing Superpixels.

Felix Y Zhou1, Carlos Ruiz-Puig1, Richard P Owen1

  • 1Ludwig Institute for Cancer Research, University of Oxford, Oxford, United Kingdom.

Bio-Protocol
|March 3, 2021
PubMed
Summary

A new computational framework, Motion Sensing Superpixels (MOSES), analyzes both individual and collective cell motion across various imaging scales. This tool integrates single-cell tracking and particle image velocimetry for comprehensive cellular dynamics phenotyping.

Keywords:
Biological motionCell trackingDynamic meshHigh-throughput screeningMotion mapSuperpixels

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Area of Science:

  • Cellular dynamics and biophysics
  • Quantitative imaging and computational biology
  • Developmental biology and disease modeling

Background:

  • Precise spatiotemporal regulation of cellular functions is crucial for organismal health.
  • Cellular motion is a key indicator of molecular signaling in disease pathways.
  • Existing computational tools lack comprehensive analysis of both individual and collective cell motion across diverse imaging modalities.

Purpose of the Study:

  • To introduce a novel computational framework, Motion Sensing Superpixels (MOSES), for unified analysis of cellular motion.
  • To enable mesoscale analysis of both single-cell and collective cell migration over extended periods.
  • To provide a practical protocol for applying MOSES to diverse biological imaging datasets.

Main Methods:

  • Integration of single-cell tracking algorithms for individual cell movement analysis.
  • Utilization of particle image velocimetry (PIV) for collective cell motion quantification.
  • Development of a mesoscale framework (MOSES) to bridge single-cell and collective motion analysis.

Main Results:

  • MOSES enables simultaneous analysis of individual and collective cell migration patterns.
  • The framework complements existing single-cell tracking by characterizing global motion and cell interactions.
  • MOSES generates high-throughput motion phenotyping data comparable to single-cell tracks from PIV fields.

Conclusions:

  • MOSES offers a versatile and user-friendly approach for comprehensive cellular motion analysis.
  • The protocol facilitates the application of MOSES across various microscopy techniques, including phase-contrast, fluorescent, lightsheet, and intravital microscopy.
  • MOSES provides critical insights into cellular dynamics relevant to development and disease.