The zip file contains 3 folders (annotations, images and training_splits).
The annotation folder contains 3 folders (cell_instances, nuclei_instances and semantic). Cell and nuclei instance annotations are long int tif images, containing numbered instance ids and 0 in the background. Semantic annotations are 8-bit int png files containing the class ids (0: background, 1: normal tissue, 2: erythrocytes, 3: alveolar epithelial type 2 cells, 4: alveolar macrophages, 5: other nuclei, 6: alveolar epithelial type 2 cell nuclei, 7: alveolar macrophage nuclei, 8: cell debris).
The image folder contains 4 folders (CD68, DAPI, DIC, proSPC), where DIC contains float valued background-corrected differential interference contrast images, the others contain normalized float-valued fluorescence channels of a multi-plex staining with CD-68 (whole alveolar macrophages), DAPI (any cell nuclei), proSPC (cytoplasm of alveolar epithelial type 2 cell). All images are in tif format.
\nThe training split folder contains 3 text files, with the image prefix (compared to images and annotations without ending, i.e. e.g. without \"_DIC.tif\") of all cases in the respective subset. With a total of 68 cases, there are 51 cases in the train set, 7 cases in the validation set and 10 cases in the test set.
The lung tissue origins from lung surgery of patients, but does not include resected tumors. Please see reference [1]. The images were acquired with a laser scanning microscope with 40x magnification and 1024 x 1024 pixels per image.