Project description
First SaaS toolbox tailored to organoid imaging
Much as human patients vary, so do patient-derived organoids. More than 100 years of analysing human organs in microscope images has contributed to the development of cell culture-based image quantification tools. However, they cannot capture the required information in organoids, resulting in significant manual labour with high variability. The ERC-funded AIOIA project aims to develop the first software-as-a-service (SaaS) toolbox tailored to organoid imaging. It will leverage powerful AI-based algorithms for image quantification and standardise outputs such that they are independent of the microscope and culture system used. Integrated in a web-based app, the SaaS will automatically quantify uploaded microscope images and videos of organoid cultures, significantly reducing time and variability.
Objective
Organoids are microscopically small patient-derived 3D organs that can be cultivated in the laboratory over months mimicking human organs and their functions in vitro. These mini-organs have a human genetic background, maintain disease traits in vitro and are currently available for almost every human organ. Due to these advantages, organoid research and its commercial applications are rapidly evolving and increasingly used. Given the high variability of these complex 3D structures, classical cell culture-based image quantification tools techniques do not accurately capture organoids in microscope images. This has resulted in much image quantification at our laboratory - like in many others - being performed using manual time-consuming tools with a high researcher variability. In sum, there is a global challenge to in a standardized manner quantify organoid experiments. We propose the first Software as a Service (SaaS) toolbox explicitly tailored to organoid imaging, building upon powerful AI-based algorithms for cutting-edge image quantification and independent of the underlying microscope and culture system hardware. The SaaS seamlessly fits in the analysis workflow by offering a user-friendly approach to upload brightfield and immunofluorescence microscope images and videos of organoid cultures, which - at the core of our product - are automatically quantified by AI-models generating a range of organoid metrics. Overall, the provided automation drastically reduces analysis time, promotes accurate phenotypical organoid analyses and ensures standardization of results between different researchers, culture conditions, and imaging hardware. Integrated in an easy-to-use web app, the SaaS tool is of great interest and essential for researchers working in the emerging field of organoids, as shown by the high utilization in our laboratory and the high interest from external partner institutions.
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 computer and information sciences software
- social sciences sociology industrial relations automation
- natural sciences physical sciences optics microscopy
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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)
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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.
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-POC
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20251 Hamburg
Germany
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