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Integrated analysis of cell shape and movement in moving frame.

Yusri Dwi HeryantoChin-Yi ChengYutaka UchidaKazushi MimuraMasaru IshiiRyo Yamada
Published in: Biology open (2021)
The cell's movement and morphological change are two interrelated cellular processes. An integrated analysis is needed to explore the relationship between them. However, it has been challenging to investigate them as a whole. The cell's trajectory can be described by its speed, curvature, and torsion. On the other hand, the three-dimensional (3D) cell shape can be studied by using a shape descriptor such as spherical harmonic (SH) descriptor, which is an extension of a Fourier transform in 3D space. We propose a novel method using parallel-transport (PT) to integrate these shape-movement data by using moving frames as the 3D-shape coordinate system. This moving frame is purely determined by the velocity vector. On this moving frame, the movement change will influence the coordinate system for shape analysis. By analyzing the change of the SH coefficients over time in the moving frame, we can observe the relationship between shape and movement. We illustrate the application of our approach using simulated and real datasets in this paper.
Keyphrases
  • single cell
  • cell therapy
  • stem cells
  • mesenchymal stem cells
  • deep learning
  • electronic health record
  • blood flow
  • data analysis