Related Experiment Video
Updated: Sep 25, 2025
Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics
Published on: February 18, 2022
TRamWAy: mapping physical properties of individual biomolecule random motion in large-scale single-particle tracking
François Laurent1,2, Hippolyte Verdier1,3,4, Maxime Duval1
1Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris 75015, France.
Motivation:
Single-molecule localization microscopy allows studying the dynamics of biomolecules in cells and resolving the biophysical properties of the molecules and their environment underlying cellular function. With the continuously growing amount of data produced by individual experiments, the computational cost of quantifying these properties is increasingly becoming the bottleneck of single-molecule analysis. Mining these data requires an integrated and efficient analysis toolbox.
Results:
We introduce TRamWAy, a modular Python library that features: (i) a conservative tracking procedure for localization data, (ii) a range of sampling techniques for meshing the spatio-temporal support of the data, (iii) computationally efficient solvers for inverse models, with the option of plugging in user-defined functions and (iv) a collection of analysis tools and a simple web-based interface.
Availability And Implementation:
TRamWAy is a Python library and can be installed with pip and conda. The source code is available at https://github.com/DecBayComp/TRamWAy.
