Clues to quality of journals
Open Access Policy of Helmholtz Association 2016
CC Licencences
Publication Metrics
Home
Deutsch
New EVA Application
Advanced Search
Browse by ...
Publication overview
Statistics (last 5 years)
OA Publications
Submit Publication
Import publication from...
Report missing publication
Contact persons
Help
Text
Endnote (RIS)
BibTeX
Publ. Version/Full Text
DOI
 |
Open Access Hybrid |
|
as soon as is submitted to ZB.
Zugängliche KI-Algorithmen für bessere Zellmikroskopie.
Available AI algorithms for better cell microscopy.
BioSpektrum 29, 378-380 (2023)
Artificial intelligence (AI) has revolutionized many fields, including bioimage analysis. Powerful AI-based tools enable the analysis of large image datasets with unprecedented accuracy. However, easy-to-use tools are needed to allow experimentalists without specialised technical knowledge to leverage AI to its full potential. Here, we discuss our efforts to develop an intuitive and open-source bioimage analysis software that enables scientists to easily access state-of-the-art AI models.
Impact Factor
Scopus SNIP
Altmetric
0.000
0.007
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Language
german
Publication Year
2023
HGF-reported in Year
2023
ISSN (print) / ISBN
0947-0867
e-ISSN
1868-6249
Journal
BioSpektrum
Quellenangaben
Volume: 29,
Issue: 4,
Pages: 378-380
Publisher
Springer
Reviewing status
Peer reviewed
Institute(s)
Institute of Functional Epigenetics (IFE)
Institute of Network Biology (INET)
Institute of Network Biology (INET)
POF-Topic(s)
30203 - Molecular Targets and Therapies
Research field(s)
Helmholtz Diabetes Center
Environmental Sciences
Environmental Sciences
PSP Element(s)
G-554400-001
G-506400-001
G-506400-001
Scopus ID
85162879082
Erfassungsdatum
2023-12-07