Objective
Project ATLAS revolutionizes single molecule analysis by building an AI-assisted platform to interpret multidimensional biomolecular images from scanning probe microscopy (SPM). This tackles two bottlenecks in biomolecular research: (i) the time-consuming manual interpretation of multidimensional SPM images, and (ii) the lack of singular digital environment, where agentic AI could assist users in interpreting image data. Project ATLAS aims to demonstrate AI-assisted multilayer image analysis and model building of biomolecules in a single, expandable, AI-integrated digital environment, capable of processing hundreds of single molecule images into their molecular structures and summarizing key insights from the dataset. The core project activities include building the software, integrating AI models to the software, deploying the software to beta users, developing an IP strategy, and formulating business plan. Project ATLAS main innovation lies in providing a one-stop environment for multilayer data analysis and computational chemistry (including molecular visualization/modeling) that can be directly acted upon by agentic AI models. Integrating agentic AI model into this digital laboratory is key to increase data throughput and lower adoption barriers of SPM-based biomolecular imaging technology for non-experts. The high-throughput single molecule analysis enabled by Project ATLAS holds significant potential across structural biology, AI-driven laboratory automation, and biotechnology sectors, which ultimately translate into cost reduction and acceleration of therapeutics development. Project ATLAS bridges cutting-edge science and technology with strategic commercialization plans, thus translating innovative research into a commercial product with significant impact on single molecule analysis markets that would reinforce European leadership in this emerging field.
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.
- natural sciences biological sciences biochemistry biomolecules
- engineering and technology mechanical engineering mechatronics automation
- natural sciences physical sciences optics microscopy
- natural sciences biological sciences molecular biology structural biology
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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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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept 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) ERC-2026-POC
See all projects funded under this callHost institution
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.
80539 MUNCHEN
Germany
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.