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Polarization Holographic Imaging for High-throughput Microplastic Analysis
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Researchers developed a polarization holography system integrated with deep learning for high-throughput microplastic detection and analysis in aqueous environments. The system enables dynamic, real-time multimodal monitoring of microplastics by leveraging polarization contrast to distinguish particles in liquid samples.
We propose a polarization holography system with deep learning. It allows dynamic analysis and high-throughput detection in an aqueous phase, facilitating real-time multimodal monitoring of microplastics.
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