Solving imaging challenges together.

Helmholtz Imaging Collaborations are your opportunity to directly tap into the expertise of Helmholtz Imaging. As part of a Collaboration, you will team up with one or multiple of our units and closely work together on solving imaging-related problems. A Collaboration is of collaborative nature and necessitates the active contribution of all parties involved. Collaborations can run for up to six months or longer, allowing us to take a deep dive into a specific problem and solve it for good!

Suitable topics for a collaboration are anything that is related to imaging and image analysis. Our Helmholtz Imaging Units offer a wide range of expertise covering the entire imaging pipeline, from the development of new imaging modalities all the way to AI-based image analysis. Whether you require support in (AI-based) image analysis, image reconstruction, annotation, data management, software solutions, addressing inverse problems, developing novel imaging modalities, 3D visualization and more – we are your partner. For more information about the expertise of our units, take a look at our team page. 

Interested in a Collaboration? Apply now!

The application process is simple and straightforward: Applications are handled via the Support Hub. Either send us an email or use our application form.

Your application should include the following information:

  • Problem statement,
  • Desired outcome / how can HI help solve the problem,
  • List of participating researchers,
  • Contact information of main applicant,
  • Depending on the task additional information is considered beneficial (e.g. sample data, respective annotations, prior publications etc.),
  • (optional) If you have already been in contact with one of our units or this application has emerged from an interaction initiated by the Support Hub feel free to name a desired Helmholtz Imaging unit to collaborate with

Review of your application: We will then review your application and, unless a desired partner unit is specified, match you with one of our units. If your application is accepted, you and the designated Helmholtz Imaging unit will then enter the evaluation phase.

Evaluation phase (duration 1-2 weeks): The goal of the exploration phase is to assess the feasibility of the project, agree on a desired (quantifiable) outcome and set a preliminary timeline.

Working Phase (up to 6 months): Following a successful evaluation phase, you and your Helmholtz Imaging collaborators work on the actual project. 

If the time is up and the predefined goals are not yet reached, both partners assess the current state of the project and evaluate whether a prolongation is desired and may lead to the desired outcome. If both parties agree, the Collaboration can be extended.

Just like the rest of our portfolio, Helmholtz Imaging Collaborations are free of charge. Helmholtz Imaging Collaborations do not offer opportunities for obtaining additional funding. Any contribution of Helmholtz Imaging is subject to our Publication Policy.

Collaborations Gallery

Decorative Image for HI Collaboration Identifying structural features of zebrafishes, using Semantic Segmentation

Identifying structural features of zebrafishes, using Semantic Segmentation

Zebrafish have a certain genetic similarity to humans and vertebrates. Particularly, the use of embryos is attractive due to the small scale screening capacity. Furthermore, similar to genuine cellular in vitro approaches, zebrafish embryos are considered as alternatives to animal testing. Therefore, they play a fundamental role in the detection of environmental and human health […]
Decorative Image for HI Collaboration Automated Analysis of Evolutionary Experiments of Phytoplankton

Automated Analysis of Evolutionary Experiments of Phytoplankton

There is a strong interest in understanding community assembly and dynamics. Experimental approaches using phytoplankton have proven to be extremely insightful to unravel underlying biological processes. Imaging flow cytometry is an emerging method becoming more and more popular in different fields. It allows us to capture changes within a community or population in a more […]
Decorative Image for HI Collaboration for biopores and plant roots in soil cores using semantic segmentation of CT images

Understanding and analyzing biopores and plant roots in Soil Cores using Semantic Segmentation of CT Images

To understand how processes in ecosystems work and how they are connected the analysis of soil systems is essential. Since traditional computer vision methods for analysing soil cores reach their limits the next step is to integrate deep learning methods. Therefore a sufficient amount of labeled ground truth data is needed. Since labeling this large […]