Project description
Transforming how we diagnose disease
Diagnosing diseases like cancer, infections and autoimmune conditions often depends on examining tissue samples under a microscope. This process can be slow owing to the many time-consuming steps involved in preparing tissue samples for observation, i.e. to enable visible contrast between cancerous and non-cancerous cells. Furthermore, the process can be subjective, with doctors sometimes reaching different conclusions, leading to more tests or, in the worst case, misdiagnosis. In this context, the EIC-funded OPTIPATH project offers a solution with a groundbreaking approach to tissue analysis. Using advanced optical chip-based technology with machine learning, it aims to provide fast, accurate 3D imaging of unprepared tissue samples. Invisible properties of light will be harnessed to give access to information currently unavailable to practitioners.
Objective
Treatment decisions for many pathological conditions, including inflammatory, degenerative, autoimmune, infectious diseases, and cancer, are largely based on microscopy study of the surgically excised tissue specimens (histology). OPTIPATH provides a new paradigm for gathering objective optical tissue-dependent data, which is essential to overcoming the diagnostic challenges of inter-observer variability and limited sensitivity and specificity. OPTIPATH will offer non-destructive, label-free, real-time, 3D-presentation of tissue samples. This is enabled by (i) revolutionary nano-photonic optical metasurfaces (OMS) for simultaneous single-shot acquisition of spectral and polarimetric information, and adaptive OMS actuated by thin-film piezoelectric Micro-Electro-Mechanical-Systems (MEMS) for (ii) rapid Vector Vortex Beam (VVB) shaping of light, and (iii) rapid confocal 3D imaging. The wealth of objective diagnostic data provided will be interpreted using Machine Learning (ML) / Deep Learning (DL), and is essential to overcome inter-observer variability in diagnosis and provide actionable insights to the clinician. By utilizing optical markers present in unprepared tissue histological procedures can be dramatically sped up, offering real-time diagnosis in operation theatres and pathology departments. By offering timely and accurate diagnosis, OPTIPATH will enable early diagnosis and improved prognosis of recovery.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences infectious diseases
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences biological sciences histology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
HORIZON-EIC - HORIZON EIC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2024-PATHFINDEROPEN-01
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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.
7034 Trondheim
Norway
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.