SOURCE-LINKED INTELLIGENCE
Reconstructed holograms and explanation-aware evaluation for low-cost computational pollen analysis in veterinary cytology
Automated pollen analysis supports veterinary cytology, but brightfield microscopy is costlier and more complex than lens-less digital in-line holographic microscopy. We evaluate whether reconstructed holograms can narrow this gap and whether model explanations remain reliable under modality change. Six pollen species were imaged by brightfield and holographic microscopy. Raw, single back-propagation and iterative phase retrieval holograms were evaluated with YOLOv26s detection and MobileNetV4 classification after anchor-based annotation transfer. Six attribution methods were assessed for spat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T13:35:07.000Z
First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.