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.
Original language | English (US) |
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Article number | 629 |
Journal | Micromachines |
Volume | 15 |
Issue number | 5 |
DOIs | |
State | Published - May 2024 |
Keywords
- micro-scale positioning
- neural networks
- deep learning
- data-driven method
- fluid mechanics
- particle tracking velocimetry