ExoFILT: Transfer learning for robust and accelerated analysis of exocytosis single-particle tracking data

This dataset provides microscopy data to test the software (ImageJ scripts + Jupyter Notebooks) available in the GitHub repository associated with the ExoFILT publication. Three compressed zip files are provided. Two of them contain four .tif movies corresponding to raw imaging data from the datasets RD1 and RD2. The third zip file contains 53 movies from the case study on exocyst-Sec1. In the ExoFILT study: RD1 was used to assess inter-annotator agreement and evaluate neural network performance. RD2 was used for training the ExoFILT model. Additionally, two .csv files containing manual annotations are provided: Annotations from multiple annotators (Ann1-Ann5) on a filtered dataset (FD1) resulting from RD1. Annotations from a single annotator (Ann1) on a filtered dataset (FD2) resulting from RD2. These .csv files can be used together with the annotation GUI available in the GitHub repository to visualize examples of bona fide and ambiguous exocytic events. Overall, these files allow users to reproduce key steps of the analysis pipeline and test the preprocessing, tracking, and inference workflows described in the repository.