25–27 Jun 2025
Schinkelhalle Potsdam
Europe/Berlin timezone

Call for Abstracts

POSTER SUBMISSION IS STILL OPEN. WE CAN NO LONGER ACCEPT TALKS.

Thank you for your contributions. The call for abstract for an oral presentation is closed. You can still hand in abstracts for posters or a topic for our unconference session >> read more.

Please be aware: Presenting authors have to be on-site in person. There is no opportunity to present an oral or poster presentation virtually/remotely.

 

Submit your Poster or Zebrafish abstract here!

It is planned to finalize the review for the abstracts submitted by May 8th by mid-May. Posters that are submitted later will be reviewed as soon as possible.

Abstract Submission guidelines:


Submit an abstract for a talk and/or a poster:

  • Presenting authors have to be on-site in person. There is no opportunity to present an oral or poster presentation virtually/remotely.
  • All abstracts must be submitted in English.
  • Authors are responsible for the literary standard of submitted abstracts. If necessary, authors are recommended to seek for editorial help.
  • It is the author’s responsibility to submit a correct abstract; any errors in spelling, grammar, or scientific fact will be published as typed by the author.
  • Standard abbreviations must be used. Other abbreviations must be defined in brackets after the first use of the word.
  • Please provide information on potential conflicts of interest.
  • Abstracts can be submitted for an oral presentation, a poster presentation or both.
  • Please provide up to 3 keywords from the list below to describe your contribution.
  • Abstracts can have max 3.800 characters (with spaces) and have to be submitted using the abstract form. 

 

Keywords:


IMPORTANT: Subtopics are examples. If your topic is not listed under the subtopics, use the main topic that best fits, or reach out to us.

  • efficient acquisition / feedback loops
    o    adaptive measurements    
    o    sensor AI
    o    image reconstruction
    o    design of experiments

 

  • workflows for imaging pipeline
    o    agents & automation
    o    LLM supported workflow development
    o    end-to-end data flow management
    o    interoperability standards

 

  • Multi-modality / Scalability
    o    cross-disciplinary data integration
    o    HPC & cloud-based scaling solutions
    o    scalable imaging with Citizen Science

 

  • Data curation & data handling
    o    imaging metadata    
    o    making image data AI-ready

 

  • Moonshot Projects (concrete projects)
  • AI for image analysis
    o    Segmentation
    o    Classification
    o    Object Detection
    o    Explainable AI
    o    Self-Supervised Learning
    o    Transfer Learning

 

  • Evaluation & Benchmarking
    o    Performance Metrics
    o    Benchmark Datasets
    o    Reproducability
    o    Robustness
    o    Real-World Applicability of Metrics

 

  • Visualization
    o    Interactive Visualization
    o    Real Time Data Visualization
    o    Virtual Reality
    o    3D Rendering

 

  • Pre-Workshop topics (use these topics if you want to contribute to a pre-workshop)
    o    Zebrafish
    o    tba