Microscope images of human cancer cell lines (U2OS and HL-60)

  • Falko Lavitt (Creator)
  • Demi J. Rijlaarsdam (Creator)
  • Dennet van der Linden (Creator)
  • Ewelina Weglarz-Tomczak (Creator)
  • Jakub M. Tomczak (Creator)
  • Falko Lavitt (Contributor)
  • Demi J. Rijlaarsdam (Contributor)
  • Dennet van der Linden (Contributor)
  • Ewelina Weglarz-Tomczak (Contributor)
  • Jakub M. Tomczak (Contributor)

Dataset / Software

Description

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. <em>Applied Sciences</em>. 2021; 11(11):4912. https://doi.org/10.3390/app11114912
Date made available2021
PublisherZenodo

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