ExoJ: an ImageJ2/Fiji plugin for automated spatiotemporal detection and analysis of exocytosis
Junjun Liu, Frederik J. Verweij, Guillaume van Niel, Thierry Galli, Lydia Danglot, Philippe Bun
ExoJ is an ImageJ2/Fiji plugin that automates the detection and analysis of exocytosis events, providing quantitative features and robust performance across varying signal-to-noise ratios.
Journal of Cell Science · Sep 2, 2024Peer-reviewedBioinformatics