The European project AI4Life aims at narrowing the gap between life scientists performing biological imaging and developers of AI-based methods to analyze microscopy image data.
This is the first of a series of annual open calls, meant to provide life scientists who have unmet image analysis needs with adequate deep learning enhanced workflows for their desired analyses.
While we are happy to hear about all your use cases, we are particularly interested in problems that are likely not unique to your own work but limit the rate of scientific discovery for multiple individuals and/or scientific groups and communities.
We welcome proposals for projects from anyone who operates on life-science image data and has the interest to evaluate, together with our AI4Life team, if modern deep learning-based methods can improve your analysis workflows. Find some concrete examples further down.
Your successful proposal will receive support from our AI4Life team, who will collaborate with you on developing a suitable solution.
You have data, but the analysis workflows you use or know about do not address the problem as efficiently or accurately as you would need to meet your project goals.
We offer to evaluate how deep learning approaches might improve your analysis workflows. Furthermore, we will collaborate with you to find an adequate method or workflow involving cutting-edge deep learning methodologies.
Your data is not as uniform, clean, and curated as you wish it was.
We’d be very happy to provide ideas, time and support on data curation and standardization.
You have raw data, but no ground truth labels to train a neural network to solve your analysis problem.
We offer to consult on the training data (labels) you might need for your task at hand. Additionally, we offer to collaboratively work on open labelling pipelines that you can then use to create the required ground truth labels.
You heard about methods or tools that might be interesting for you, but you are not sure about the pros and cons of said approaches and/or how to use them.
We offer to consult on available methods and tools and help you make sound decisions on how to set them up and use them in your existing workflows. Additionally, we can also help you test and evaluate said solutions and compare them on adequately chosen metrics.
There are at least two ways to connect you to others that might be able to help you improve your situation:
Listing your problem on our matchmaking portal
We offer to work with you on a representation of your analysis needs that can be put on our matchmaking portal on the AI4Life website. We will advertise the portal in presentations during conferences and courses, and put references on the image.sc forum and other visible fora, and try to connect you to other members of our community that can then potentially help you in various ways.
Casting your analysis problem in a public challenge
You have a solution for your analysis problem, but you believe better solutions should exist and should be developed? We offer to help you make a suitable subset of your data available as a so-called “public challenge”. Computer scientists like to face such challenges to measure their methods against others. This has the potential to see many different approaches being tested or even adapted for your analysis tasks.
Note: We believe that most submitted projects should receive attention, but we will, unfortunately, not be able to engage with all proposed projects. In case your proposal will not be selected, we offer to help you to put an adequately worded version of your proposal on our matchmaking portal on the AI4Life website.
We will advertise this page to computational experts and hope to facilitate fruitful collaborations that go beyond the support you will receive from AI4Life.
We have appointed an international team of expert reviewers who help us evaluate projects according to the following criteria:
The scientific data you provide will be treated confidentially and the reviewers will sign a confidentiality and non-disclosure agreement.
More details can be found in our FAQs.
Opportunity alert! Interested in becoming a reviewer for this Open Call? Please apply here!
Please check our FAQs (and the video below), and get in touch with us in the discussion channel in Matrix where general questions can be posted at any time. You can also get in touch with us via email@example.com.