Investigating the microenvironments of inhomogeneous soft materials with multiple particle tracking
Author(s) -
Megan T. Valentine,
Peter D. Kaplan,
D. Thota,
John C. Crocker,
Thomas Gisler,
Robert K. Prud’homme,
M. Beck,
D. A. Weitz
Publication year - 2001
Publication title -
physical review. e, statistical physics, plasmas, fluids, and related interdisciplinary topics
Language(s) - English
Resource type - Journals
eISSN - 1095-3787
pISSN - 1063-651X
DOI - 10.1103/physreve.64.061506
Subject(s) - tracking (education) , viscoelasticity , brownian motion , particle (ecology) , statistical physics , flexibility (engineering) , biological system , measure (data warehouse) , statistical mechanics , mechanics , materials science , computer science , classical mechanics , physics , mathematics , data mining , psychology , pedagogy , oceanography , statistics , quantum mechanics , composite material , biology , geology
We develop a multiple particle tracking technique for making precise, localized measurements of the me- chanical microenvironments of inhomogeneous materials. Using video microscopy, we simultaneously mea- sure the Brownian dynamics of roughly one hundred fluorescent tracer particles embedded in a complex medium and interpret their motions in terms of local viscoelastic response. To help overcome the inherent statistical limitations due to the finite imaging volume and limited imaging times, we develop statistical techniques and analyze the distribution of particle displacements in order to make meaningful comparisons of individual particles and thus characterize the diversity and properties of the microenvironments. The ability to perform many local measurements simultaneously allows more precise measurements even in systems that evolve in time. We show several examples of inhomogeneous materials to demonstrate the flexibility of the technique and learn new details of the mechanics of the microenvironments that small particles explore. This technique extends other microrheological methods to allow simultaneous measurements of large numbers of probe particles, enabling heterogeneous samples to be studied more effectively.
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