This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma cell line (U2OS) and a human leukemia cell line (HL-60). The dataset was originally prepared for the cell counting task. It contains 165 labeled images (training: 133, test: 32). The file contains three folders: - training: 165 labeled images in .tiff format; - test: 32 labeled images in .tiff format. Each labeled image has the following name: X.Y.N.tiff where: X - the name of the human cancer cell line; Y - a condition identifier (irrelevant); N - the cell count. If you use this dataset, please cite the following paper: Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines. Applied Sciences. 2021; 11(11):4912. https://doi.org/10.3390/app11114912

Contact person: Jakub M. Tomczak (jmk.tomczak@gmail.com) Funding: EWT was financed by a grant within Mobilnosc Plus V from the Polish Ministry of Science and Higher Education (Grant 1639/MOB/V/2017/0).