Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis

Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis

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...

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Main Authors: Abed Alrahman Chouaib, Hsin-Fang Chang, Omnia M. Khamis, Nadia Alawar, Santiago Echeverry, Lucie Demeersseman, Sofia Elizarova, James A. Daniel, Qinghai Tian, Peter Lipp, Eugenio F. Fornasiero, Salvatore Valitutti, Sebastian Barg, Constantin Pape, Ali H. Shaib, Ute Becherer
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61579-3
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https://doi.org/10.1038/s41467-025-61579-3

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