CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images ; volume:23 ; number:1 ; day:18 ; month:1 ; year:2022 ; pages:1-17 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (18.1.2022), 1-17, 12.2022
- Urheber
-
Lee, Michael Y.
Bedia, Jacob S.
Bhate, Salil S.
Barlow, Graham L.
Phillips, Darci
Fantl, Wendy J.
Nolan, Garry
Schürch, Christian M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-04570-9
- URN
-
urn:nbn:de:101:1-2022043020245741502939
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Lee, Michael Y.
- Bedia, Jacob S.
- Bhate, Salil S.
- Barlow, Graham L.
- Phillips, Darci
- Fantl, Wendy J.
- Nolan, Garry
- Schürch, Christian M.
- SpringerLink (Online service)
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