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

Haoyu Wang, Liu Hong, Leonardo P. Chamorro

Research output: Contribution to journalReview articlepeer-review


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.
Original languageEnglish (US)
Article number629
Issue number5
StatePublished - May 2024


  • micro-scale positioning
  • neural networks
  • deep learning
  • data-driven method
  • fluid mechanics
  • particle tracking velocimetry


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