
Conventional microplastic characterization relies on labor-intensive visual inspection under optical microscopy, creating a significant bottleneck in large-scale environmental monitoring pipelines. As the year 2026 unfolds, the sheer volume of plastic debris entering the oceans and atmospheric systems has necessitated a transition from manual oversight to sophisticated computational intelligence. The traditional method of sitting before a microscope for hours, manually identifying










