Loading…

Loading grant details…

Active HORIZON European Commission

ulTRafast hOlograPHic FTIR microscopY

€1.9M EUR

Funder European Commission
Recipient Organization Politecnico Di Milano
Country Italy
Start Date Sep 01, 2022
End Date Aug 31, 2026
Duration 1,460 days
Number of Grantees 7
Roles Associated Partner; Participant; Coordinator
Data Source European Commission
Grant ID 101047137
Grant Description

Many human pathologies such as cancer are due to complex biochemical alterations that start at a sub-cellular level and lead to progressive changes that result in a heterogeneous tumor composition.

The polyclonality of tumor cells hampers the diagnosis and the therapy giving rise to tumor clones that lead to therapy resistance and promote metastases.

An accurate diagnosis of tumor biopsies to identify these particular cell clones is crucial to provide targeted therapy tailored to the tumor characteristics, to improve the patient outcomes and increase survival rates.

For this vision to come true, we introduce ulTRafast hOlograPHic FT-IR microscopY (TROPHY) as a paradigm shift in vibrational microscopy, blending elements of photo-thermal infrared (PT-IR), Fourier transform (FT)-IR, and Digital Holography Microscopy (DHM).

TROPHY brings these techniques to the unprecedented ultrafast timescale, where the refractive index change induced by coherent IR vibrations is probed at its peak value before thermal relaxation.

TROPHY borrows from PT-IR the combination of IR vibrational excitation with visible probing for high spatial resolution, from FT-IR the use of time-domain interferometry to obtain a high spectral resolution from broadband excitation, from DHM highly sensitive and quantitative detection of the refractive index (phase) change.

Combined with artificial intelligence algorithms, this technology will enable quantitative concentration imaging of molecular biomarkers with high spatial resolution, high chemical selectivity and high speed, with a transformative impact on medical research and clinics.

In oncology, it will be applied to intraoperative diagnosis of tumor biopsies, providing tumor grading, staging and subtyping, and supporting complete tumor resection.

It will also allow to determine the best therapeutic approach tailored to the patient and identify resistant tumor clones under targeted therapy, paving the way for precision medicine in cancer.

All Grantees

The University of Exeter; The Chancellor Masters and Scholars of the University of Cambridge; Fundacio Institut de Ciencies Fotoniques; Consiglio Nazionale Delle Ricerche; Lyncee Tec Sa; Politecnico Di Milano; Universitatsklinikum Jena

Advertisement
Discover thousands of grant opportunities
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant