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ACSeg: Automated 3D Cytoplasm Segmentation in Soft X-Ray Tomography [Jurkat T cell data]

The structure of cells is a key to understanding cellular function, diagnosing diseases, and developing new treatments. Soft X-ray tomography is uniquely used to access 3D cellular structure of various cells at statistically significant sample sizes. These datasets are reconstructed 3D volumes obtai...

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Bibliographic Details
Main Authors: Aydogdu-Erozan, Ayse (Author) , Heuveline, Vincent (Author) , Weinhardt, Venera (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2024-03-21
DOI:10.11588/data/XEBZLL
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Forschungsdaten
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Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.11588/data/XEBZLL
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/DATA/XEBZLL
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Author Notes:Ayse Erozan, Vincent Heuveline, Venera Weinhardt
Description
Summary:The structure of cells is a key to understanding cellular function, diagnosing diseases, and developing new treatments. Soft X-ray tomography is uniquely used to access 3D cellular structure of various cells at statistically significant sample sizes. These datasets are reconstructed 3D volumes obtained by soft X-ray tomography on Jurkat T cells. The data is organized in individual *.tif files.
Item Description:Gefördert durch: EU Research and Innovation Act: 101017116; xcellence Strategy of the Federal and State Governments of Germany: FIEMS
Gesehen am 19.03.2025
Physical Description:Online Resource
DOI:10.11588/data/XEBZLL

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