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Advanced Multimodal Photonics Laser Imaging Tool for Urothelial Diagnosis in Endoscopy

Project description

Advanced multimodal laser imaging for in vivo deep tissue endoscopy

Motivated by recent breakthroughs in multi-photon imaging, the AMPLITUDE project is developing a microscopy and endoscopy platform that exploits novel lasers in combination with state-of-the-art imaging and optical analyses technologies to address the poor reliability and accuracy of bladder cancer diagnosis and monitoring. The project explores the application of unique lasers to generate light in previously unavailable infra-red regions and penetrate much deeper into tissue, where early signs of cancer often lie undetected. By combining these lasers with multiphoton microscopy, auto fluorescence imaging and Raman spectroscopy, the project aims to develop an integrated imaging platform that can capture high-resolution images at depths up to 10 times greater than existing diagnostic tools enabling doctors to more accurately identify and monitor tumours.

Objective

There is an absence of lasers with the necessary wavelengths and characteristics to access the possibilities for deeper high-resolution biological tissue imaging in the third bio-window between 1650 nm and 1870 nm. Motivated by recent breakthrough results in multi-photon imaging at twice the depths currently achievable, we will meet the urgent need for new sources to address the outstanding research questions in this spectral region. Results will guide and enable instrument development in this appealing and relatively unexplored biophotonics imaging wavelength range.

The AMPLITUDE consortium proposes a new concept of label-free, multi-modal microscopy and endoscopic imaging operating in this new wavelength region with multiple imaging and spectroscopic technologies, including NIR confocal reflectance microscopy, multi-photon microscopy and spontaneous Raman spectroscopy.

By progressing ultrafast fibre laser developments at 1700 nm, we will deliver new imaging capabilities in an appropriate form factor and at cost suitable for widespread adoption. This will be further enhanced by providing additional output at 850 nm using second harmonic generation from one integrated laser device.

This will enable a pioneering new compact and efficient multi-modal capability combining confocal and non-linear imaging techniques, overcoming performance limitations in medical and biological imaging applications, including improved pathohistological staging of tumours and in-vivo endoscopic assessment of depth of lesion invasiveness. Deeper multi-photon microscopy with autofluorescence imaging of cellular metabolic conditions, whose aspects are tightly related to cellular functioning and to cancer, implemented in tandem with Raman spectroscopy will provide exhaustive characterisation of the examined tissue at morphological, metabolic and molecular levels, allowing in-vivo optical biopsy for bladder cancer diagnosis, grading and staging.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

RIA - Research and Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-ICT-2018-20

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Coordinator

TAMPEREEN KORKEAKOULUSAATIO SR
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 710 000,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 710 000,00

Participants (10)

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