BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells

• Main Authors: Aleix Boquet-Pujadas, Timothée Lecomte, Maria Manich, Roman Thibeaux, Elisabeth Labruyère, Nancy Guillén, Jean-Christophe Olivo-Marin, Alexandre C. Dufour
• Format: Article
• Language: English
• Published: Nature Publishing Group 2017-08-01
• Series: Scientific Reports
• Online Access: https://doi.org/10.1038/s41598-017-09240-y

Abstract Cell motility is governed by a complex molecular machinery that converts physico-chemical cues into whole-cell movement. Understanding the underlying biophysical mechanisms requires the ability to measure physical quantities inside the cell in a simple, reproducible and preferably non-invasive manner. To this end, we developed BioFlow, a computational mechano-imaging method and associated software able to extract intracellular measurements including pressure, forces and velocity everywhere inside freely moving cells in two and three dimensions with high spatial resolution in a non-invasive manner. This is achieved by extracting the motion of intracellular material observed using fluorescence microscopy, while simultaneously inferring the parameters of a given theoretical model of the cell interior. We illustrate the power of BioFlow in the context of amoeboid cell migration, by modelling the intracellular actin bulk flow of the parasite Entamoeba histolytica using fluid dynamics, and report unique experimental measures that complement and extend both theoretical estimations and invasive experimental measures. Thanks to its flexibility, BioFlow is easily adaptable to other theoretical models of the cell, and alleviates the need for complex or invasive experimental conditions, thus constituting a powerful tool-kit for mechano-biology studies. BioFlow is open-source and freely available via the Icy software.