Glioma C6 dataset for cell segmentation
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https://zenodo.org/record/15012665
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资源简介:
Training and test images of Glioma C6 cells imaged using phase-contrast microscopy for the task of cell segmentation.
The example shows a phase-contrast image of Glioma C6 cells and the manually annotated segmentation mask.
Data type: Phase-contrast images with corresponding annotations in COCO format.
Microscopy data type: 2D phase-contrast images recorded at 24 or 72-hour intervals after cell seeding.
Microscope: BestScope BS-2092 microscope in phase-contrast mode, equipped with 10× and 20× objective lenses.
Cell type: C6 glioma cells (rat glial tumor cells, ATCC CCL-107).
Image size: 2592 × 1944 px² .
File format: .tif (8-bit).
File naming convention: The file names include the cultivation time (24h or 72h) and the microscope objective lens (10× or 20×), e.g., spec_24h_10x_17.tif.
Dataset subsets:
Glioma C6-spec: 45 images captured under strictly controlled imaging conditions, divided into training (30 images), validation (4 images), and test (11 images) subsets.
Glioma C6-gen: 30 images captured under varied imaging and seeding conditions, designed to test model generalization.
Annotations:
Over 20,000 annotated objects across both subsets, including 12,000 cell annotations and 7,800 nucleus annotations.
Glioma C6-spec annotations include Type A cells (spheroids formed by cells either unattached to substrates or at the initial stage of cell division), Type B cells (elongated cells with distinct poles, growth phase) and nuclei.
Glioma C6-gen subset annotations consist only of general cell instances, without differentiation into types or nuclei.
Article reference:
"Glioma C6: A Novel Dataset for Training and Benchmarking Cell Segmentation," Malashin et al., 2025.
Authors:
Roman Malashin¹ ², Svetlana Pashkevich³, Daniil Ilyukhin¹, Arseniy Volkov³, Valeria Yachnaya¹ ², Andrey Denisov³, Maria Mikhalkova¹
Affiliation(s):
¹ Pavlov Institute of Physiology, Russian Academy of Science
² Saint-Petersburg State University of Aerospace Instrumentation, Russia
³ Institute of Physiology, NAS of Belarus
创建时间:
2025-03-25



