ArticleScience advances2025
Seeing through arthropod eyes: An AI-assisted, biomimetic approach for high-resolution, multi-task imaging.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Foveated light-field compound imager.Science advances · 2026Article
- An autonomous intelligent mosquito sentinel for field-deployed surveillance.Communications engineering · 2026Article
- Foveated Light-Field Compound Imager.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
9 authors.
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Abstract
Arthropods have intricate compound eyes and optic neuropils, exhibiting exceptional visual capabilities. Combining the strengths of digital imaging with the features of natural arthropod visual systems offers a promising approach to harness wide-angle vision and depth perception while addressing limitations like low resolving power. Here, we present an artificial intelligence-assisted biomimetic system modeled after arthropod vision. We developed a biomimetic compound eye camera with an effective pixel number of 4.3 megapixels capable of producing full-color panoramic images with a viewing angle of 165° and resolving power of 40 micrometers. Using rich visual information, our system achieves high-fidelity image reconstruction, precise 3D position prediction, high-accuracy classification, and pattern recognition through a multistage neural network. Moreover, our compact biomimetic visual system can simultaneously track the 3D motion of multiple miniature targets independently. The proof-of-concept biomimetic arthropod visual system offers a computational panoramic imaging solution, advancing applications in industry, medicine, and robotics.
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