Single-slide detection and typing of AL renal amyloidosis: combining mass spectrometry imaging and digital pathology
This study confirmed the capability of MALDI-MSI to detect and type AL amyloidosis, assessing the possibility to integrate an additional computational method for amyloid detection on a single tissue slide.
Authors
- Vincenzo L’Imperio (ORCID: https://orcid.org/0000-0002-9284-2998)
- Stefania Galimberti (ORCID: https://orcid.org/0000-0003-1504-7242)
- Giulia Capitoli (ORCID: https://orcid.org/0000-0002-8178-2440)
- Federica Mescia (ORCID: https://orcid.org/0000-0002-2759-4027)
- Fulvio Magni (ORCID: https://orcid.org/0000-0002-8663-0374)
- Giorgio Cazzaniga (ORCID: https://orcid.org/0000-0001-5373-0611)
- Fabio Pagni (ORCID: https://orcid.org/0000-0001-9625-1637)
- Federico Alberici (ORCID: https://orcid.org/0000-0002-1686-5709)
- Simona Fisogni
- Angelo Maggioni
- Greta Bindi (ORCID: https://orcid.org/0000-0002-1160-2176)
- Andrew R. Smith (ORCID: https://orcid.org/0000-0001-8580-278X)
- Mauro Mannino
Institutions
- Brescia University (US)
- Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT)
- Azienda Ospedaliera San Gerardo (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- University of Milano-Bicocca (IT)
- University of Brescia (IT)
Publication Details
- Journal
- Amyloid
- Published
- 2025-07-26
- DOI
- https://doi.org/10.1080/13506129.2025.2530532
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute
- Regione Lombardia