ArticleNature communications2025
Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Towards a systematic understanding of the diverse subtypes, biogenesis and functions of large extracellular vesicles.Nature reviews. Molecular cell biology · 2026Review
- ExoFILT: transfer learning for robust and accelerated analysis of exocytosis single-particle tracking data.Bioinformatics (Oxford, England) · 2026Article
- Artificial Intelligence for Discovery in Life Sciences.Bioconjugate chemistry · 2026Review
- Engineering Bacterial Extracellular Vesicles as Nanoweapons to Fight against Bacterial Infections.Research (Washington, D.C.) · 2026Review
- Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.Nature communications · 2025Article
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Authors and funding
16 authors.
Funding
Abstract
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an ImageJ plugin for automated, reliable analysis of fluorescence-labeled vesicle fusion events and other burst-like activity. IVEA includes three specialized modules for detecting: (1) synaptic transmission in neurons, (2) single-vesicle exocytosis in any cell type, and (3) nano-sensor-detected exocytosis. Each module uses distinct techniques, including deep learning, allowing the detection of rare events often missed by humans at a speed estimated to be approximately 60 times faster than manual analysis. IVEA's versatility can be expanded by refining or training new models via an integrated interface. With its impressive speed and remarkable accuracy, IVEA represents a seminal advancement in exocytosis image analysis and other burst-like fluorescence fluctuations applicable to a wide range of microscope types and fluorescent dyes.
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Registered trials
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