In Vitro Antibody Quantification with Hyperspectral Imaging in a Large Field of View for Clinical Applications.

HMGB1 antibody quantification hyperspectral imaging intraoperative sensing tumor target detection

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
17 Mar 2023
Historique:
received: 22 02 2023
accepted: 13 03 2023
medline: 30 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: epublish

Résumé

Hyperspectral imaging (HSI) is a non-invasive, contrast-free optical-based tool that has recently been applied in medical and basic research fields. The opportunity to use HSI to identify exogenous tumor markers in a large field of view (LFOV) could increase precision in oncological diagnosis and surgical treatment. In this study, the anti-high mobility group B1 (HMGB1) labeled with Alexa fluorophore (647 nm) was used as the target molecule. This is the proof-of-concept of HSI's ability to quantify antibodies via an in vitro setting. A first test was performed to understand whether the relative absorbance provided by the HSI camera was dependent on volume at a 1:1 concentration. A serial dilution of 1:1, 10, 100, 1000, and 10,000 with phosphatase-buffered saline (PBS) was then used to test the sensitivity of the camera at the minimum and maximum volumes. For the analysis, images at 640 nm were extracted from the hypercubes according to peak signals matching the specificities of the antibody manufacturer. The results showed a positive correlation between relative absorbance and volume (r = 0.9709,

Identifiants

pubmed: 36978761
pii: bioengineering10030370
doi: 10.3390/bioengineering10030370
pmc: PMC10045535
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : ARC Foundation for Cancer Research
ID : ELIOS (Endoscopic Luminescent Imaging for precision Oncologic Surgery)
Organisme : IRCAD France and IRCAD Africa (M.D.), and the ANR (National Research Agency)
ID : Liver SURG grant (ANR-18-CE19-0026)

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Auteurs

Martina De Landro (M)

Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.

Lorenzo Cinelli (L)

Department of Gastrointestinal Surgery, San Raffaele Hospital IRCCS, 20127 Milan, Italy.
Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.

Nicola Marchese (N)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.

Giulia Spano (G)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.

Manuel Barberio (M)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.
Department of General Surgery, Ospedale Card. G. Panico, 73039 Tricase, Italy.

Cindy Vincent (C)

Institut de Chirurgie Guidéè par L'image, University Hospital Institute (IHU), 67000 Strasbourg, France.

Jacques Marescaux (J)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.

Didier Mutter (D)

Institut de Chirurgie Guidéè par L'image, University Hospital Institute (IHU), 67000 Strasbourg, France.
Digestive and Endocrine Surgery, Nouvel Hopital Civil, University of Strasbourg, 67000 Strasbourg, France.

Michel De Mathelin (M)

ICube Laboratory, Photonics Instrumentation for Health, 67400 Strasbourg, France.

Sylvain Gioux (S)

Intuitive Surgical, 1170 Aubonne, Switzerland.

Eric Felli (E)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.

Paola Saccomandi (P)

Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.

Michele Diana (M)

Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.
Digestive and Endocrine Surgery, Nouvel Hopital Civil, University of Strasbourg, 67000 Strasbourg, France.
ICube Laboratory, Photonics Instrumentation for Health, 67400 Strasbourg, France.

Classifications MeSH