Datasets › HuTu 80

HuTu 80 (HuTu 80 cell populations)

22 Sep 2022 archive 2025-07-28

The 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, we refer to (Liang et al., 2007)). Briefly, cells were seeded in 12-well culture plates (20 ×10³ 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 as a part of the original experimental study. Here we use these manual annotations as a reference (``ground truth''). To improve the reproducibility of our analysis, we made corresponding images and their manual annotations fully available at https://gitlab.com/digiratory/biomedimaging/bcanalyzer.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Segmentation HuTu 80 UNetR Dice 0.9843 Segmentation of patchy areas in biomedical images based... — 2 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Segmentation of patchy areas in biomedical images based on local edge density estimation 0 2 22 Sep 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • HuTu 80

1 variant name, as the archive lists them.

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