The NeurImag cellular and molecular imaging Facility, member of the Paris Centre Node of France-BioImaging, has initiated the development of a new tool called ExoJ, in collaboration with the teams of Guillaume Van Niel (CRCI2NA, Nantes University), Frederik Verweij (Utrecht University), Thierry Galli (IPNP, Inserm, Université Paris Cité) and Junjun Liu (Shandong First Medical University).

What is ExoJ?

ExoJ is a plugin developed for the Fiji/ImageJ2 software, specifically designed to automate the reliable detection and analysis of exocytosis events from fluorescence microscopy images. Exocytosis is a cellular process where molecules or substances contained within a cell are released to the extracellular environment. This process involves the fusion of a vesicle, a membrane-bound sac, with the cell membrane. Once fused, the contents of the vesicle are expelled into the extracellular space.

How does ExoJ work?

ExoJ automatically identifies user-defined exocytosis events. It extracts key quantitative information such as the intensity, apparent size and duration of each event. ExoJ is fully parameterizable and configurable, making it suitable for studying different types of exocytosis, whatever the imaging modality (TIRF [1] and/or spinning disk [2]). ExoJ is a robust and reliable tool for analyzing large datasets!

What are the benefits of ExoJ?

ExoJ automates the detection of exocytosis events, considerably reducing analysis time compared with manual annotation. Moreover, the results obtained are reproducible, facilitating comparisons between different experiments. Finally, ExoJ is based on Fiji/ImageJ2, an open-source software widely used in the scientific community.

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[1] Cois et al., 2024 https://pubmed.ncbi.nlm.nih.gov/39145986/

[2] Hessvik et al., 2023 https://pubmed.ncbi.nlm.nih.gov/37285022/