ACS Omega· 2026Q1
Deep-Learning-Assisted Single-Shot Plasma Emission Imaging for Pollen Morphology Reconstruction and Apparent Hydration-State Classification
- 0citations
- Q1SCImago
- 2026year
Short summary
A deep learning model reconstructs pollen morphology and classifies hydration state from single-shot plasma emission images, achieving ~76% accuracy in distinguishing hydrated from dehydrated grains.
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Immunology and AllergyMedicine