Brizioli Matteo, Escobedo-Sánchez Manuel A, McCall Patrick M, Roichman Yael, Trappe Veronique, Gardel Margaret L, Egelhaaf Stefan U, Giavazzi Fabio, Cerbino Roberto
Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, via F.lli Cervi 93, 20090 Segrate, Italy.
Condensed Matter Physics Laboratory, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany.
Soft Matter. 2025 Feb 12;21(7):1373-1381. doi: 10.1039/d4sm01390e.
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.
粒子追踪微流变学通过精确追踪一组嵌入的胶体示踪粒子来探测软材料的流变学。单粒子分析专注于单个示踪粒子的轨迹,适用于不与粒子相互作用的均匀材料。相比之下,非均匀、微结构化材料或粒子直接与介质相互作用的材料的表征需要双粒子分析,该分析可表征不同粒子对轨迹之间的相关性。在此,我们提出一种光流图像分析方法,作为基于追踪算法的替代方案,用于从使用多种成像对比模式获取的视频显微镜图像中提取单粒子和双粒子微流变学信息。这种技术称为光流微流变学(OFM),它代表了一种高通量、无需操作人员的方法,可用于表征多种软材料,使更广泛的科学界能够进行微流变学研究。