The Twenty Questions of bioimage object analysis

The language used by microscopists who wish to find and measure objects in an image often differs in critical ways from that used by computer scientists who create tools to help them do this, making communication hard across disciplines. This work proposes a set of standardized questions that can gu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature methods Jg. 20; H. 7; S. 976 - 978
Hauptverfasser: Cimini, Beth A., Eliceiri, Kevin W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.07.2023
Nature Publishing Group
Schlagworte:
631/114/1564
631/114/2416
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Comment
Datasets
Image analysis
Image processing
Life Sciences
Metadata
Microscopy
Proteomics
Questions
ISSN:1548-7091, 1548-7105, 1548-7105
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The language used by microscopists who wish to find and measure objects in an image often differs in critical ways from that used by computer scientists who create tools to help them do this, making communication hard across disciplines. This work proposes a set of standardized questions that can guide analyses and shows how it can improve the future of bioimage analysis as a whole by making image analysis workflows and tools more FAIR (findable, accessible, interoperable and reusable).
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
B.A.C. drafted the initial schema, coded the web tool and wrote the manuscript; K.W.E. revised the schema and the manuscript.
Author contributions
ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-023-01919-7