Backscattering coherent Stokes Raman scattering (sCiSsoRS) for real-time cancer diagnostics

This project aims to enhance real-time cancer diagnosis during surgery by developing backward Coherent Stokes Raman Scattering (CSRS) for rapid, HE-like imaging of thick tissue samples.

Subsidie
€ 2.432.705
2024

Projectdetails

Introduction

The gold-standard for cancer diagnosis is the pathological examination of Hematoxylin & Eosin (HE) stained tissue. Though well adopted worldwide for the coloration of large numbers of cancer sections, the classical HE-staining procedure is unable to provide fast feedback to surgeons within less than 30 minutes. This latency compromises the efficiency and accuracy of any tumor resection, with numerous negative impacts on the success of the surgery and the patient’s health prospects.

Current Limitations

Recently, the chemical-bond-specific image contrast provided by stimulated Raman scattering (SRS) was shown to be suitable for the generation of HE-like images. However, the SRS signal fundamentally propagates forward and is absorbed in thick biopsies, rendering an SRS-based diagnosis impossible. Furthermore, the SRS imaging speed is still too slow for the real-time determination of cancer borders in large specimens.

Proposed Solution

Here, I want to resolve these obstacles by combining the non-linear optical contrast Coherent Stokes Raman Scattering (CSRS) with high illumination angles. CSRS will permit the generation of HE-like images but will direct the signal photons into the backward direction as a result of a unique momentum conservation law.

Advantages of Backward CSRS

  1. Backward CSRS will allow for the investigation of thick cancer samples.
  2. It will enable technical solutions to boost the imaging speed that were never an option before.

Conclusion

Thus, the development of CSRS is not only a scientific breakthrough that circumvents the fundamental dogma of always forward scattered light but will provide HE-like images of thick samples as real-time feedback to improve the success rate and time efficiency of cancer surgery.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 2.432.705
Totale projectbegroting€ 2.432.705

Tijdlijn

Startdatum1-9-2024
Einddatum31-8-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder

Land(en)

France

Vergelijkbare projecten binnen European Research Council

ERC Advanced...

Vibrational speckle tomography microscopy for fast intra-operative cancer tissue histopathology

The SpeckleCARS project aims to develop fast, label-free 3D histology imaging for real-time cancer diagnosis and treatment, eliminating the need for biopsies and improving accuracy and accessibility.

€ 2.726.936
ERC Consolid...

Non-invasive computational immunohistochemical staining based on deep learning and multimodal imaging

STAIN-IT aims to develop a fast, non-invasive, label-free immunohistochemical staining method using multimodal imaging and deep learning to enhance cancer diagnosis and understanding of disease pathogenesis.

€ 1.989.086
ERC Advanced...

In vivo Immunofluorescence-Optical Coherence Tomography

Develop a high-resolution endoscopic imaging system combining Optical Coherence Tomography and fluorescent antibodies for improved diagnosis and treatment of esophageal cancer and lung disease.

€ 2.500.000
ERC Starting...

Phototransient InfraRed Holography (PIRO)

The PIRO project aims to develop a novel phototransient infrared holographic microscope for rapid, high-resolution imaging of molecular changes in cancer and antibiotic-treated bacteria for improved diagnostics.

€ 1.937.138
ERC Consolid...

Super-resolution Field-Resolved Stimulated Raman Microscopy

This project aims to develop a super-resolution, label-free Raman microscope using femtosecond laser technology to non-invasively visualize subcellular structures with unprecedented sensitivity and resolution.

€ 1.996.250

Vergelijkbare projecten uit andere regelingen

EIC Transition

Chemometric histopathology via coherent Raman imaging for precision medicine

The CHARM project aims to revolutionize cancer diagnosis with a novel AI-integrated, label-free tissue analysis system, achieving high accuracy in tumor identification and classification.

€ 2.441.979
EIC Pathfinder

Multimodal Hypersprectal Imaging and Raman Spectroscopy for Intraoperative Assessment of Breast Tumor Resection Margins

Spectra-BREAST aims to enhance tumor margin assessment in breast conserving surgery using a novel multimodal approach for real-time, accurate feedback, improving patient outcomes and reducing reoperation rates.

€ 2.990.207
EIC Accelerator

Real-time multi-spectral imaging for accurate detection of cancerous tissue in endoscopic surgery

Thericon is developing an rMSI platform to enhance endoscopic cancer surgery by providing multi-parametric imaging for better tissue differentiation and reducing cancer recurrence, seeking funding for market launch in 2024.

€ 2.500.000
EIC Pathfinder

Hybrid endoscope for esophageal in vivo histology and histochemistry

ESOHISTO aims to revolutionize GI cancer diagnosis through innovative endoscopic technologies that enable real-time 3D imaging of diseased tissues, enhancing early detection and treatment.

€ 3.046.127
EIC Transition

Enabling the transition to 3D digital pathology

3DPATH aims to develop a clinically viable 3D tissue scanner using advanced light-sheet fluorescence microscopy to enhance histopathology accuracy and improve patient care globally.

€ 2.493.683