ArticleJournal of insect science (Online)2026
Non-invasive image-based method for mass estimation of caterpillars of Lepidoptera.
Article in Journal of insect science (Online), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Live biomass is a key metric for monitoring insect development and survival, especially of larval species of Lepidoptera. Nonetheless, manual weighing is labor-intensive, can induce stress, and may introduce experimental bias. Here, we present a non-invasive, open-source ImageJ macro that enables repeated measurements of caterpillar silhouette area using computer vision tools. We validated this approach using larvae of five different lepidopteran species and found a strong correlation between the silhouette area and live biomass. The macro achieved high detection accuracy (∼98%) and was approximately six times faster than manual weighing. This approach can potentially allow for continuous monitoring of larval biomass while reducing handling and associated stress, providing a practical tool for experimental studies of Lepidoptera.
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