task_categories:image-segmentation license:cc-by-4.0 size_categories:n<1K format:imagefolder modality:image library:datasets library:mlcroissant region:us biology
---
license: cc-by-4.0
task_categories:
- image-segmentation
tags:
- biology
pretty_name: HuTu 80 cell populations
size_categories:
- n<1K
---
# Dataset Card for HuTu 80 cell populations

<!-- Provide a quick summary of the dataset. -->

## Dataset Details

### Dataset Description

The first image set contains 180 high-resolution color microscopic images of human duodenum adenocarcinoma HuTu 80 cell populations obtained in an in vitro scratch assay (for the details of the experimental protocol). Briefly, cells were seeded in 12-well culture plates (20x10^3 cells per well) and grown to form a monolayer with 85% or more confluency. Then the cell monolayer was scraped in a straight line using a pipette tip (200 μL). The debris was removed by washing with a growth medium and the medium in wells was replaced. The scratch areas were marked to obtain the same field during the image acquisition. Images of the scratches were captured immediately following the scratch formation, as well as after 24, 48 and 72 h of cultivation.

Images were obtained with the Zeiss Axio Observer 1.0 microscope (Carl Zeiss AG, Oberkochen, Germany) with 400x magnification. All images have been manually annotated by domain experts. Here we use these manual annotations as a reference ("ground truth'').

More information is in original paper [Segmentation of patchy areas in biomedical images based on local edge density estimation](https://www.sciencedirect.com/science/article/abs/pii/S1746809422006437).

- **License:** cc-by-4.0

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Paper:** [Segmentation of patchy areas in biomedical images based on local edge density estimation](https://www.sciencedirect.com/science/article/abs/pii/S1746809422006437)


## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```
@article{SINITCA2023104189,
  title = {Segmentation of patchy areas in biomedical images based on local edge density estimation},
  journal = {Biomedical Signal Processing and Control},
  volume = {79},
  pages = {104189},
  year = {2023},
  issn = {1746-8094},
  doi = {https://doi.org/10.1016/j.bspc.2022.104189},
  url = {https://www.sciencedirect.com/science/article/pii/S1746809422006437},
  author = {Aleksandr M. Sinitca and Airat R. Kayumov and Pavel V. Zelenikhin and Andrey G. Porfiriev and Dmitrii I. Kaplun and Mikhail I. Bogachev},
}
```

**APA:**

Sinitca, A. M., Kayumov, A. R., Zelenikhin, P. V., Porfiriev, A. G., Kaplun, D. I., & Bogachev, M. I. (2023). Segmentation of patchy areas in biomedical images based on local edge density estimation. Biomedical Signal Processing and Control, 79, 104189.


## Dataset Card Contact

Aleksandr: https://huggingface.co/amsinitca