---
license: cc-by-4.0
task_categories:
- image-classification
language:
- en
tags:
- biology
- medical
- code
size_categories:
- 1K<n<10K
---


This datatset is a mirror to the dataset "Single-cell Microscopy Images for Cancer Classification" DOI: "xxxxxxx" in Mendeley Data, we will maintain both to upload new dataset in time and keep these two versions the same.

This is a dataset for single cell fluorescence microscopy images. The dataset includes cancer cells and normal cells. The images contain three channels: red (actin filament), green (vimentin filament), and blue (nucleus). We have 591 normal cells and 542 cancer cells. More information about how to culture the cells, stain the cells, take the photos, and cell segmentation can be found in our paper "xxxxxx". Please also cite this paper if you find our dataset is useful.

This is a well-labelled and continuously updated dataset, we plan to upload more cell images, not only just for cancer and normal cells, but also upload some cells which are in the stages between normal and cancer. Besides, we will also upload some cell images contain another channel: microtube.

Citation:
The dataset: xxxxxxx
The paper: xxxxxxx

Contact:
Jiabang Chen: jchen144@sheffield.ac.uk