Objective
Super-resolution methods have recently given new life to fluorescence microscopy; they promise molecular-scale resolution, while maintaining all the benefits of traditional diffraction limited techniques, such as robust labeling methods and three-dimensional imaging capability. However, the current super-resolution techniques only work reliably with thin, brightly labeled, low background samples. STimulated Emission Depletion (STED) super-resolution microscopy in principle is exceptionally well suited for deep imaging, because point-illumination makes it possible to use an optical pinhole that significantly reduces the out-of-focus background signal. However, current STED microscope implementations suffer from very low signal-to-noise ratio (SNR), and the STED depletion beam intensity distribution – that is used to reduce the size of the effective fluorescence volume at the focus – is extremely sensitive to optical aberrations. In AdaptiveSTED project both of these issues will be addressed. The main goal of the AdaptiveSTED project is to develop a real-time aberration correction scheme for STED (and other point-scanning microscopes) that will allow robust, high resolution imaging deep inside complex, aberrating samples. A novel Single Photon Avalanche diode (SPAD) array detector, will make it possible to combine real-time wavefront sensing with high-SNR fluorescence recording into a single detector. The aberration correction scheme will be compatible with any poin-scanning microscopy technique: it will be thoroughly tested with a variety of biological samples in an open-access setting (anyone can use), in STED, two-photon and confocal imaging modes. The aberration correction system will be realized in collaboration with Prof. Martin J. Booth’s group at University of Oxford.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences physical sciences optics microscopy super resolution microscopy
- natural sciences physical sciences optics microscopy confocal microscopy
- natural sciences physical sciences theoretical physics particle physics photons
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
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.
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.
MSCA-IF-EF-ST - Standard EF
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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) H2020-MSCA-IF-2017
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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.
16163 Genova
Italy
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.