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Micro-Scale Particle Tracking: From Conventional to Data-Driven Methods
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DOI：10.3390/mi15050629.png)
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Abstract
En 中文
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.
Keywords:
micro-scale positioning
particle tracking velocimetry
fluid mechanics
data-driven method
deep learning
neural networks
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