One- and two-particle microrheology of soft materials based on optical-flow image analysis

Author(s)
Matteo Brizioli, Manuel A. Escobedo-Sánchez, Patrick M. McCall, Yael Roichman, Veronique Trappe, Margaret L. Gardel, Stefan U. Egelhaaf, Fabio Giavazzi, Roberto Cerbino
Abstract

Particle-tracking microrheology probes the rheology of soft materials by accurately tracking an ensemble of embedded colloidal tracer particles. One-particle analysis, which focuses on the trajectory of individual tracers is ideal for homogeneous materials that do not interact with the particles. By contrast, the characterization of heterogeneous, micro-structured materials or those where particles interact directly with the medium requires a two-particle analysis that characterizes correlations between the trajectories of distinct particle pairs. Here, we propose an optical-flow image analysis as an alternative to the tracking-based algorithms to extract one and two-particle microrheology information from video microscopy images acquired using diverse imaging contrast modalities. This technique, termed optical-flow microrheology (OFM), represents a high-throughput, operator-free approach for the characterization of a broad range of soft materials, making microrheology accessible to a wider scientific community.

Organisation(s)
Computational and Soft Matter Physics
External organisation(s)
Università degli Studi di Milano, Heinrich-Heine-Universität Düsseldorf, University of Chicago, Tel Aviv University, Université de Fribourg
Journal
Soft Matter
Volume
21
Pages
1373-1381
No. of pages
9
ISSN
1744-683X
DOI
https://doi.org/10.1039/d4sm01390e
Publication date
01-2025
Peer reviewed
Yes
Austrian Fields of Science 2012
103015 Condensed matter, 103023 Polymer physics
ASJC Scopus subject areas
General Chemistry, Condensed Matter Physics
Portal url
https://ucrisportal.univie.ac.at/en/publications/7581125c-60db-4e4d-b2b6-dab0c99a723d