ExoJ – a Fiji/ImageJ2 plugin for automated spatiotemporal detection and analysis of exocytosis

Year: 2024

Type: article

Abstract: Exocytosis is a dynamic physiological process that enables the release of biomolecules to the surrounding environment via the fusion of membrane compartments to the plasma membrane. Understanding its mechanisms is crucial, as defects can compromise essential biological functions. The development of pH-sensitive optical reporters alongside fluorescence microscopy enables the assessment of individual vesicle exocytosis events at the cellular level. Manual annotation represents, however, a time-consuming task that is prone to selection biases and human operational errors. Here, we introduce ExoJ, an automated plugin based on Fiji/ImageJ2 software. ExoJ identifies user-defined genuine populations of exocytosis events, recording quantitative features including intensity, apparent size and duration. We designed ExoJ to be fully user-configurable, making it suitable for studying distinct forms of vesicle exocytosis regardless of the imaging quality. Our plugin demonstrates its capabilities by showcasing distinct exocytic dynamics among tetraspanins and vesicular SNARE protein reporters. Assessment of performance on synthetic data shows that ExoJ is a robust tool that is capable of correctly identifying exocytosis events independently of signal-to-noise ratio conditions. We propose ExoJ as a standard solution for future comparative and quantitative studies of exocytosis.

Source: Journal of Cell Science

DOI: 10.1242/jcs.261938

Authors: Junjun Liu, Frederik Johannes Verweij, Guillaume Van Niel, Thierry Galli, Lydia Danglot, Philippe Bun

Institutions: Jinan Central Hospital, Shandong First Medical University, Utrecht University, Inserm, Université Paris Cité, Institut de Psychiatrie et Neurosciences de Paris, GHU Paris psychiatrie & neurosciences

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: European Molecular Biology Organization, Association pour la Recherche sur le Cancer, Infrastructures en Biologie Santé et Agronomie, Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Fondation pour la Recherche Médicale, Fondation ARC pour la Recherche sur le Cancer, Institut National Du Cancer

OpenAlex ID: W4402138169