High-Resolution Raman Imaging of >300 Patient-Derived Cells from Nine Different Leukemia Subtypes: A Global Clustering Approach-Reference-Cited by-同舟云学术

High-Resolution Raman Imaging of >300 Patient-Derived Cells from Nine Different Leukemia Subtypes: A Global Clustering Approach

Published:2024-05-31 Issue:23 Volume:96 Page:9468-9477
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Vanna Renzo¹^ORCID,Masella Andrea²^ORCID,Bazzarelli Manuela²,Ronchi Paola³,Lenferink Aufried⁴,Tresoldi Cristina³,Morasso Carlo⁵^ORCID,Bedoni Marzia⁶,Cerullo Giulio¹⁷^ORCID,Polli Dario¹⁷^ORCID,Ciceri Fabio³,De Poli Giulia²,Bregonzio Matteo²,Otto Cees⁴^ORCID

Affiliation:

1. Istituto di Fotonica e Nanotecnologie − Consiglio Nazionale delle Ricerche (IFN-CNR), c/o Politecnico di Milano, Milan 20133, Italy

2. Datrix S.p.A., Milan 20121, Italy

3. IRCCS Ospedale San Raffaele, University Vita-Salute San Raffaele, Milan 20132, Italy

4. Medical Cell BioPhysics, Department of Science and Technology, TechMed Center, University of Twente, Enschede, NL 7500 AE, The Netherlands

5. Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, Pavia 27100, Italy

6. IRCCS, Fondazione Don Carlo Gnocchi, Milan 20148, Italy

7. Dipartimento di Fisica, Politecnico di Milano, Milan 20133, Italy

Funder

Regione Lombardia

HORIZON EUROPE European Innovation Council

Fondazione Cariplo

Horizon 2020 Framework Programme

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.4c00787

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