• Corpus ID: 209515363

Machine learning holography for measuring 3D particle size distribution

@article{Shao2019MachineLH,
  title={Machine learning holography for measuring 3D particle size distribution},
  author={Siyao Shao and Kevin Mallery and Jiarong Hong},
  journal={arXiv: Applied Physics},
  year={2019}
}
Particle size measurement based on digital holography with conventional algorithms are usually time-consuming and susceptible to noises associated with hologram quality and particle complexity, limiting its usage in a broad range of engineering applications and fundamental research. We propose a learning-based hologram processing method to cope with the aforementioned issues. The proposed approach uses a modified U-net architecture with three input channels and two output channels, and… 

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