Ex vivo imaging-based high content phenotyping of patients with rheumatoid arthritis
This work was supported by the Austrian Academy of Sciences, the Medical University of Vienna and a grant (RMG2235 to L.X.H.) from the European Alliance of Associations for Rheumatology (EULAR).
Authors
- Leonhard X. Heinz (ORCID: https://orcid.org/0000-0002-6921-1493)
- Noémi Zsuzsanna Mészáros
- Michael Bonelli (ORCID: https://orcid.org/0000-0002-6122-7482)
- Ulrich Goldmann (ORCID: https://orcid.org/0000-0003-1120-6912)
- Nikolaus Krall (ORCID: https://orcid.org/0000-0002-8400-4388)
- Daniel Aletaha (ORCID: https://orcid.org/0000-0003-2108-0030)
- Giulio Superti‐Furga (ORCID: https://orcid.org/0000-0002-0570-1768)
- Felix Kartnig (ORCID: https://orcid.org/0000-0001-8540-2831)
Institutions
- Austrian Academy of Sciences (AT)
- CeMM Research Center for Molecular Medicine (AT)
- Medical University of Vienna (AT)
Publication Details
- Journal
- EBioMedicine
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1016/j.ebiom.2024.105522
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.66
Funders
- Österreichischen Akademie der Wissenschaften
- Universität Wien
- Medizinische Universität Wien
- European League Against Rheumatism