Micro-Scale Particle Tracking: From Conventional to Data-Driven Methods

Author:

Wang Haoyu1,Hong Liu1,Chamorro Leonardo P.1234ORCID

Affiliation:

1. Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

2. Department of Aerospace Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

3. Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

4. Department of Geology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

Abstract

Micro-scale positioning techniques have become essential in numerous engineering systems. In the field of fluid mechanics, particle tracking velocimetry (PTV) stands out as a key method for tracking individual particles and reconstructing flow fields. Here, we present an overview of the micro-scale particle tracking methodologies that are predominantly employed for particle detection and flow field reconstruction. It covers various methods, including conventional and data-driven techniques. The advanced techniques, which combine developments in microscopy, photography, image processing, computer vision, and artificial intelligence, are making significant strides and will greatly benefit a wide range of scientific and engineering fields.

Publisher

MDPI AG

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