ForSys

ForSys infers intercellular stresses and intracellular pressures from time-lapse microscopy to enable analysis of spatiotemporal patterns of mechanical forces during tissue morphogenesis in vivo.


Key Features:

  • Static stress inference: Estimates tissue stresses from single time-point microscopy data.
  • Dynamic stress inference: Incorporates tissue dynamics and temporal information into stress estimation.
  • Segmentation input compatibility: Accepts segmentation inputs from EPySeg and Cellpose.
  • Multiple interfaces: Supports command-line use, scripting, and graphical interface operation within Fiji.

Scientific Applications:

  • Zebrafish lateral-line primordium migration: Revealed increased stress during cell rounding preceding mitosis and accurately predicted the onset of epithelial rosettogenesis.
  • Neuromast development: Uncovered mechanical asymmetries linked to cell type-specific adhesion.
  • Tissue morphogenesis analysis: Enables analysis of spatiotemporal patterns of mechanical forces during tissue development and regeneration in vivo.

Methodology:

ForSys performs stress inference from time-lapse microscopy data after validation against known mechanical measurements.

Topics

Details

Programming Languages:
Python
Added:
2/22/2026
Last Updated:
2/22/2026

Operations

Publications