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Creator
Date
2024-08-02Type
- Dataset
ETH Bibliography
yes
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Data
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Abstract
This repository contains "aiSEGcell_nucleus: A large data set for nucleus segmentation of primary hematopoietic cells in bright field and fluorescence" and "aiSEGcell_sourcedata_scripts_software". The former contains data sets D1-D5 of publication TBD. The latter contains a snapshot of the aiSEGcell software and all data + code necessary to reproduce figures and tables of publication TBD. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000679085Contributors
Contact person: Schirmacher, Daniel![cc](/themes/Mirage2//images/orcid_icon.png)
Data collector: Schirmacher, Daniel
![cc](/themes/Mirage2//images/orcid_icon.png)
Data collector: Auler, Markus
Data collector: Kull, Tobias
Data collector: Wang, Weijia
Data collector: Hastreiter, Simon
Data collector: Kawamura, Shunsuke
Data collector: Zhang, Yang
![cc](/themes/Mirage2//images/orcid_icon.png)
Project leader: Schroeder, Timm
![cc](/themes/Mirage2//images/orcid_icon.png)
Project member: Armagan, Ümmünur
Publisher
ETH ZurichEdition / version
1.0Software
Segmentations were generated with fastER[1] and subsequently manually curated. All code was written in python.
[1]: Hilsenbeck O, Schwarzfischer M, Loeffler D, Dimopoulos S, Hastreiter S, Marr C, Theis FJ, Schroeder T. fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy. Bioinformatics. 2017 Jul 1;33(13):2020-2028. doi: 10.1093/bioinformatics/btx107. PMID: 28334115.Geographic location
Place nameBasel
Date created
2017-05-25/2024-06-14Subject
Segmentation; Microscopy; Nucleus; Fluorescence microscopy; Bright field; Hematopoiesis; Deep learning; Cells (biology)Organisational unit
03992 - Schroeder, Timm / Schroeder, Timm
Funding
186271 - Elucidating the human mesenchymal bone marrow stromal hierarchy in health and disease (SNF)
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ETH Bibliography
yes
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