aiSEGcell_supplement: analyses, software, and data sets
dc.contributor.author
Schirmacher, Daniel
dc.contributor.contactPerson
Schirmacher, Daniel
dc.contributor.dataCollector
Schirmacher, Daniel
dc.contributor.dataCollector
Auler, Markus
dc.contributor.dataCollector
Kull, Tobias
dc.contributor.dataCollector
Wang, Weijia
dc.contributor.dataCollector
Hastreiter, Simon
dc.contributor.dataCollector
Kawamura, Shunsuke
dc.contributor.dataCollector
Zhang, Yang
dc.contributor.projectLeader
Schroeder, Timm
dc.contributor.projectMember
Armagan, Ümmünur
dc.date.accessioned
2024-09-20T09:32:43Z
dc.date.available
2024-06-19T09:10:42Z
dc.date.available
2024-06-20T06:33:24Z
dc.date.available
2024-07-31T11:48:03Z
dc.date.available
2024-08-02T10:25:17Z
dc.date.available
2024-08-02T10:29:32Z
dc.date.available
2024-09-20T09:32:43Z
dc.date.created
2017-05-25/2024-06-14
en_US
dc.date.issued
2024-08-02
dc.identifier.uri
http://hdl.handle.net/20.500.11850/679085
dc.identifier.doi
10.3929/ethz-b-000679085
dc.description.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.
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dc.format
application/x-tar
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text/plain
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text/csv
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application/vnd.openxmlformats-officedocument.wordprocessingml.document
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image/png
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application/octet-stream
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Segmentation
en_US
dc.subject
Microscopy
en_US
dc.subject
Nucleus
en_US
dc.subject
Fluorescence microscopy
en_US
dc.subject
Bright field
en_US
dc.subject
Hematopoiesis
en_US
dc.subject
Deep learning
en_US
dc.subject
Cells (biology)
en_US
dc.title
aiSEGcell_supplement: analyses, software, and data sets
en_US
dc.type
Dataset
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.size
4.577 KB
en_US
ethz.version.edition
1.0
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ethz.code.ddc
DDC - DDC::5 - Science::570 - Life sciences
en_US
ethz.grant
Elucidating the human mesenchymal bone marrow stromal hierarchy in health and disease
en_US
ethz.geolocation.placename
Basel
ethz.publication.place
Zurich
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03992 - Schroeder, Timm / Schroeder, Timm
en_US
ethz.date.retentionend
10 years
en_US
ethz.date.retentionendDate
2034-08-02T10:25:17Z
ethz.grant.agreementno
186271
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Sinergia
ethz.relation.isSupplementTo
10.3929/ethz-b-000691670
ethz.date.deposited
2024-06-19T09:10:42Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.description.software
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.
en_US
ethz.rosetta.installDate
2024-08-02T10:25:18Z
ethz.rosetta.lastUpdated
2024-08-02T10:25:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.libdrive.url
https://libdrive.ethz.ch/index.php/s/VoF2SYkbLY8izjh
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ethz.COinS
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