FiCRoN, a deep learning-based algorithm for the automatic determination of intracellularparasite burden from fluorescence microscopy images
Graciela Juez Castillo, Brayan Valencia-Vidal, Lina M. Orrego, Maria Cabello Donayre, Laura Montosa Hidalgo, Jose Maria Pérez Victoria · Figshare · 2023
The FiCRoN automated method dataset provides fluorescence microscopy images from BMDM macrophages (mouse bone marrow-derived macrophages) infected with Leishmania major. When extracting the FiCRoN.zip file, three main folders appear: Training, Validation and Test. Within the first two main folders there are two secondary folders: Original_images and another folder with Annotation to detect three cell categories, Amastigotes, Infected Macrophages and Total Macrophages compatible with the FiCRoN method. In the main folder Test there are two secondary folders, Original_images with MOIs different and another folder with Count generated from the manual counting of three experts and the automatic FiCRoN count.