25–27 Jun 2025
Schinkelhalle Potsdam
Europe/Berlin timezone

Call for Abstracts

ABSTRACT SUBMISSION CLOSED. 

Thank you for your contributions. The call for abstract is closed. You can still hand in topics 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.

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