Welcome to the SAENOPY Documentation

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SAENOPY is a free open source 3D traction force microscopy software. Its material model is especially well suited for tissue-mimicking and typically highly non-linear biopolymer matrices such as collagen, fibrin, or Matrigel.

It features a python package to use in scripts and an extensive graphical user interface. The userinferface also has integrations for spheriods, fiber alignment and 2D traction force microscopy.

This migration immune cell demonstrated what scientific discoveries you can achieve with saenop:


Installation

Standalone

You can download saenopy as a standalone application for windows or for linux:

Windows https://github.com/rgerum/saenopy/releases/download/v1.0.2/saenopy.exe

Linux https://github.com/rgerum/saenopy/releases/download/v1.0.2/saenopy

Using Python

If you are experienced with python or even want to use our Python API, you need to install saenopy as a python package. Saenopy can be installed directly using pip:

pip install saenopy

Now you can start the user interface with:

saenopy

Integrations

Aside from saenopy’s main use or 3D traction force microscopy we provide in our interface integrations to related methods to asses cellular forces.

Spheroid

3D traction force microscopy on multicellular aggregates (so-called spheroids).

https://github.com/christophmark/jointforces

Orientation

Use fiber alignment as a proxy for force if the material properties are not available.

https://github.com/davidbhr/CompactionAnalyzer

pyTFM

Analyze force generation and stresses in cell colonies and confluent cell layers growing on a 2 dimensional surface.

https://github.com/fabrylab/pyTFM

Citing Saenopy

If you use Saenopy for academic research, you are highly encouraged (though not required) to cite our preprint:

  • Dynamic traction force measurements of migrating immune cells in 3D matrices David Böhringer, Mar Cóndor, Lars Bischof, Tina Czerwinski, Andreas Bauer, Caroline Voskens, Silvia Budday, Christoph Mark, Ben Fabry, Richard Gerum bioRxiv 2022.11.16.516758; doi: https://doi.org/10.1101/2022.11.16.516758

You can also refer to the previous publications on the predecessor of saenopy: