MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis

Riju Marwah; Riya Arora; Navneet Yadav; Himank Arora

doi:10.1007/978-981-96-7526-5_7

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MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis

Lecture notes in networks and systems 2026

Riju Marwah, Riya Arora, Navneet Yadav, Himank Arora

Summary

Researchers developed MicroDetect-Net, a deep learning model trained to detect microplastics in clam blood, demonstrating a pathway toward automated detection in human blood samples as plastic production exceeds 368 million tons annually and microplastics are found across all environmental and biological matrices.

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Human

With the prevalence of plastics exceeding over 368 million tons yearly, microplastic (MP) pollution has grown to an extent where air, water, soil, and living organisms have all been tested where microplastics have been detected. No less are these particles of...

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