Published on 29.05.2026

Helmholtz Imaging Newsletter Issue No. 27

Promotional graphic for “Helmholtz Imaging Newsletter Issue No. 27” featuring illuminated trees and their colorful reflection on dark water.
info

Dear Imaging Enthusiast,

The Helmholtz Imaging Project Call 2026 is open, supporting collaborative, cross-disciplinary research at the intersection of imaging and information & data science. Interested researchers from Helmholtz are invited to join the information session on June 2 and connect with potential collaborators via our matchmaking channel.

We are also excited to announce the Helmholtz Imaging Week 2026, taking place in Leipzig from November 9–12. This year’s edition of the Helmholtz Imaging Conference will feature new networking formats, including the Daily Brew and the Networking Carousel. The official program will kick off on November 10 with the Imaging Deep Dive Day. Check out the full program – registration will open soon. Stay tuned!

Beyond these highlights, this issue features updates from our community, including new tools and resources, new team members, as well as training and job opportunities.

Here’s what’s inside this issue:

As always, we welcome your contributions. Share your imaging-related news and events with us at support@helmholtz-imaging.de. Let’s keep building our vibrant imaging community together.

Happy reading!

Your Helmholtz Imaging team

***

A personal note from us:

Do you have an imaging challenge, no matter how big or small? Professional imaging support for Helmholtz researchers, offered by Helmholtz Imaging at no cost. Contact us via our support hub. 

Also, if you haven’t yet, join our network of experts, modalities, instruments, and facilities! CONNECT with us.

Interested in receiving our newsletter directly in your mailbox? Subscribe here.

Visit our Helmholtz Model Zoothe new platform for Helmholtz employees for AI-powered research: easy access, user-friendly, strong data protection, and a growing set of validated models from different domains. Join the community!

***

Event graphic featuring a dense background of multicolored circles and dots surrounding a large black rectangle with white text reading “Helmholtz Imaging Week 2026.” Additional text lists “Helmholtz Imaging Conference,” “Imaging Deep Dive Day,” and “Scientific Advisory Committee Meeting,” along with a blue “Save the Date” button and the location and date “Leipzig, November 9–12.”
Thorsten Wiegand, UFZ (background image)

Helmholtz Imaging Week 2026: Registration Opening Soon

Join us in Leipzig from November 9–12, 2026 for the Helmholtz Imaging Week 2026: four days of scientific exchange, collaboration, and networking opportunities with the imaging community.

At the heart of the week is the Helmholtz Imaging Conference (November 10–12) with keynote talks, scientific presentations, poster sessions, and interactive formats connecting researchers and imaging experts from across disciplines.

New in 2026: the Imaging Deep Dive Day (IDDD) on November 10, a half-day program of hands-on, community-driven workshops exploring emerging topics in imaging and AI in smaller, interactive groups.

We are also excited to introduce the Daily Brew and Networking Carousel, offering even more opportunities for informal exchange and new collaborations.

Our popular unconference session BYOIC – Bring Your Own Imaging Challenge will also return, inviting participants to share real-world imaging challenges and discuss solutions together with the community.

Registration will open soon. 

Save the dates & stay tuned

Info: Promotional banner with a black background and large white text reading “Helmholtz Imaging Project Call 2026.” Below the title are three square images: an aerial landscape with lakes and trees, a colorful anatomical scan, and a satellite-style patchwork image. A fourth outlined square contains the text “Your project here?” The bottom of the graphic reads “Apply by June 26, 2026.”
Katharina Kriegel, Helmholtz Imaging (images from Helmholtz Imaging projects)

Helmholtz Imaging Project Call 2026 – Info Session on June 2

Are you a researcher from the Helmholtz Association and planning to submit a proposal for a collaborative, cross-disciplinary, and high-risk research project at the intersection of imaging and information & data science? Then get in touch with the Helmholtz Imaging Support Hub already at the application stage! 

Register here to join the information session

Whether you are looking to refine your approach, explore new ideas, or complement your expertise, we are here to support you. Join our information session on Tuesday, June 2 at 10 AM to learn more about this call, the application process, and ask any question you may have.

If you are looking for project partners or would like to exchange project ideas, join our dedicated “Helmholtz Imaging Project Call Matchmaking” channel on Mattermost.

About the call
The Helmholtz Imaging Project call supports collaborative, cross-disciplinary research projects that advance imaging science and strengthen the connection between imaging and information & data science. Researchers from at least two Helmholtz Centers, with optional participation of external partners, are encouraged to join forces and develop innovative solutions along the imaging pipeline – from data acquisition to knowledge extraction. 

Selected projects can receive up to €500,000 in funding volume for up to three years (max. €250,000 from the Helmholtz Initiative and Networking Fund, matched by project partners). Additional funding of up to €100,000 is available within the dedicated track for solutions that can be generalized across scientific domains. The application deadline: June 26, 2026.

Group photo of the Helmholtz Imaging team
Knut Sander, Helmholtz Imaging, DESY

Scientific Exchange Forum Brings Helmholtz Imaging Team Together

From April 21-23, the Helmholtz Imaging team gathered in Mannheim for the internal Scientific Exchange Forum – three days dedicated to exchange ideas, share recent progress, and shape what’s next.

The forum combined small-group discussions, buddy rounds, and informal exchange formats to connect colleagues across disciplines and explore topics ranging from noise handling in imaging and agentic AI approaches to career development and imaging support activities.

We also warmly welcomed Jian Peng from UFZ who will bring remote sensing and hydrology expertise to Helmholtz Imaging. 

The meeting highlighted the importance of open exchange and collaboration, leaving the team inspired and motivated for the next steps ahead.

Li Mohan, Bouquet of gold microcrystals
Li Mohan, GSI

Team Update: Welcome

We are pleased to welcome Alexander Denker, who joined the Research Unit at DESY as a postdoctoral researcher. Previously, he worked at University College London, where he focused on generative modeling and its applications to inverse problems. At Helmholtz Imaging, he will work on bridging the gap between deep learning-based image reconstruction and the unique challenges of scientific image reconstruction, including high-dimensional 3D and dynamic reconstruction tasks, scarce labeled training data and the need to generalize across different experimental setups.

Profile picture of Alexander Denker

AI image processing is already well established in consumer applications (even in new smartphones), where hallucinations or artifacts are often tolerable, but its usefulness in scientific imaging depends on whether it can reliably work on real scanner data without introducing misleading artifacts.

Split graphic showing abstract cellular imagery, a blurred inset labeled “Noisy Measurement,” and grey circular shape labeled „Naive Reconstrution“, connected by an arrow, and a colorful image with tightly packed, irregular cell-like shapes.
Blended images: left: Andreas Müller, Deborah Schmidt, Martin Weigert; middle: Tim Roith & Lena Dunst; right: Sonja Fritzsche

Explore our Training Opportunities

Discover our latest workshops and courses, ranging from 3D visualization to image analysis and reconstruction. Save the dates & don’t miss the registration deadlines!

Register now, before the deadline closes:

Validating AI for Image Analysis

  • Dates: June 3, 9 + 25, 2026
  • Topic: Introduction to the validation of AI methods in image analysis: Learn how to select and interpret appropriate performance metrics, quantify model performance uncertainty, and assess the robustness of rankings in algorithm benchmarking! 
  • Registration is open until May 31.

Save the dates for these courses (registration not open yet):

Regularization in Image Reconstruction: From Model to Data Driven Methods

  • Date: September 16, 2026
  • Topic: Build a strong foundation in image reconstruction and inverse problems. Learn about regularization strategies, deep learning for inverse problems, and Bayesian approaches to uncertainty quantification.
  • Registration opens August 19.

3D Data Visualization

  • Dates: September 28 – October 1, 2026
  • Topic: Bring your volumetric data to life in this workshop. Gain hands-on experience with 3D visualization techniques using tools like Fiji, Blender, and Neuroglancer.
  • Registration opens July 20.

These courses are free of charge and open to individuals affiliated with Helmholtz or a HIDA Partner only. They are part of the data science course portfolio offered by the platforms of the Helmholtz Information and Data Science Framework.

Wooden letter blocks spelling “FEEDBACK” arranged on a table, with scattered blocks blurred in the background.
Envato Elements

Survey: Help Shape Helmholtz’ Data Science Training Portfolio

Which data science skills are most relevant for your research? We invite members of the Helmholtz Association to participate in a short survey on current training needs and future skill development priorities. Your feedback will help shape future data science training opportunities across Helmholtz. The anonymous survey takes approximately 8–10 minutes to complete.

Access the survey & share your feedback

Hyperspectral data cube symbolizing the general remote sensing and hyperspectral imagery domains, showing an aerial view of a landscape at the front with bluish, green and reddish colored lines leading to the back of the cube.
Aaron Christian Banze

NEW on CONNECT: Estimating Soil Properties from Satellite Data with Explainable AI

How can we accurately and transparently predict soil nutrients from space? With Hype-Spectral, a top-performing solution in the HYPERVIEW2 ESA Φ-lab Challenges, Aaron Banze from the German Aerospace Center (DLR) 

and the Helmholtz Imaging Project “HYPER-AMPLIFAI,” shows how machine learning and hyperspectral imaging can accurately estimate key soil nutrients, non-invasively and at scale.

The approach integrates explainable AI (XAI), making model predictions more transparent and trustworthy.

Read the full blog post on CONNECT

Screenshot of Segmentation Metrics Playground
Screenshot of Segmentation Metrics Playground

Enter the Metrics Playground

The Metrics Reloaded Toolkit got an extension with playgrounds for segmentation and classification metrics. 

Interactively explore the metrics from the Metric Library: Adjust class distributions, thresholds, or mask overlaps to see how metrics quantify performance under varying conditions. 

Access the demo

The extension for Metrics Reloaded was implemented by Carlos Aumente-Maestro (Helmholtz Imaging Engineering and Support Unit DKFZ).

Screenshot of the Claims Reloaded tool displaying a probability-of-false-claim heatmap chart
Screenshot of the Claims Reloaded tool displaying a probability-of-false-claim heatmap chart

New: Claims Reloaded – A Toolkit for Assessing the Validity of Outperformance Claims

Performance comparisons drive progress in medical imaging AI, yet many studies claim superiority based on small test sets and marginal improvements. Claims Reloaded is a new online toolkit that helps researchers and reviewers assess whether such outperformance claims are statistically credible

Based on a Bayesian framework, the tool estimates the probability that an observed performance difference could have occurred by chance, and presents the results through intuitive visualizations and automatically generated reports. By making statistical assessment easily accessible, Claims Reloaded supports more robust experimental design and more informed peer review

The tool is freely available at: https://claims-reloaded.dkfz.de

Lead developer for Claims Reloaded is Carlos Aumente-Maestro (Helmholtz Imaging Engineering and Support Unit DKFZ).

Laptop on a workbench surrounded by DIY and construction tools, top view, hobby and crafting concept
Envato Elements

Tools & Resources, from the Community, for the Community

Following your feedback from the last Helmholtz Imaging Conference, where you asked for more tools and resources, we introduced this new newsletter section dedicated to sharing open, practical solutions from the community. So, here we go:

Tool spotlight: CellSium, versatile cell simulator for microcolony ground truth generation

Collage of synthetic images; light grey and dark grey squares

How can researchers train AI models for cell segmentation when annotated microscopy data is limited? CellSium is a flexibly configurable cell simulator developed for microfluidic live-cell imaging that synthesizes realistic image sequences of bacterial microcolonies growing in monolayers. The tool supports synthetic time-lapse videos with and without fluorescence, programmable cell growth models, and simulation-ready 3D colony geometries for computational fluid dynamics. Simulated images can be used to train neural networks for AI-driven image analysis.

The tool was developed by Christian Carsten Sachs, Karina Ruzaeva, Johannes Seiffarth, Wolfgang Wiechert, Benjamin Berkels, and Katharina Nöh as part of the Helmholtz Imaging project SATOMI.

Learn more on CONNECT

Image: Christian Carsten Sachs

Have a tool, dataset, software package, or other resource you’d like to share? Submit your solution via CONNECT and help grow the collection of open and easy-to-use imaging resources. We look forward to featuring more community-driven tools in upcoming issues!

This image resembles an abstract mosaic or painting. It is composed of many irregular, crystal-like shapes in vivid shades of pink, yellow, turquoise, orange, blue, and black. The fragmented patterns create a textured appearance similar to stained glass or cracked ice illuminated by polarized light. It shows a longitudinal thin section of a sea ice core.
Anja Rösel, DLR & Polona Itkin, UiT – The Arctic University of Norway

Helmholtz Imaging Contributes to Two Excellence Clusters in Hamburg

The two Excellence Clusters BlueMat – Water-Driven Materials and Understanding Written Artefacts (UWA) in Hamburg showcase how advanced imaging enables interdisciplinary research across the humanities, natural sciences, and engineering.

The collaborations highlight how advanced imaging enables interdisciplinary research across engineering, natural sciences, and the humanities, from studying sustainable water-driven materials to revealing hidden ancient texts non-destructively with mobile X-ray imaging.

Read our news article to learn more about BlueMat & UWA

A side profile of a human head formed by glowing blue lines and circuit-like patterns, suggesting a digital or artificial intelligence representation. The face appears semi-transparent and geometric, with interconnected nodes and pathways extending outward. Binary code is faintly visible on the left side, while a blurred laptop sits in the background, reinforcing a technology-focused setting.
Envato Elements

From Data to Impact: Helmholtz Imaging Shapes the MEDAL Project

A major milestone for AI in medical imaging: Lena Maier-Hein, Center Coordinator at Helmholtz Imaging and researcher at the German Cancer Research Center (DKFZ), has been awarded €3 million in funding from the Carl-Zeiss-Stiftung for the MEDAL project.

Helmholtz Imaging will contribute its expertise in benchmarking image analysis AI models and their evaluation to help establish a global standard for evaluating AI systems.

Learn more

This image shows long vertical streaks in bright yellow, turquoise, blue, and purple. The layered colors and textured lines resemble dripping paint or weathered wood grain, creating a vivid, striped pattern across the image.
Anja Rösel, DLR & Polona Itkin, UiT – The Arctic University of Norway

Ron Kikinis Honored with KIT International Excellence Award 2026

Portrait of Ron Kikinis

Congratulations to Ron Kikinis on receiving the 2026 International Excellence Award of KIT for his internationally renowned contributions to medical image processing, image-guided therapy, and biomedical informatics.


At Helmholtz Imaging, we are proud to work with Ron as a valued member of our Scientific Advisory Committee. His expertise and vision continue to inspire innovation at the intersection of imaging, AI, and medicine.

Learn more

Group photo of the Helmholtz Imaging team
Knut Sander, Helmholtz Imaging, DESY

Meet Helmholtz Imaging

Say hello to Helmholtz Imaging team members at the following events:

News from our Partner Platform HMC

Promotional graphic for the “CIFAR Helmholtz Fall School on Data Science & the Brain” with abstract purple curved line patterns on a black background.

Join our CIFAR Helmholtz Fall School

Explore the intersection of AI, neuroscience and data science at the CIFAR Helmholtz Fall School in Montreal. Early-career researchers can expect expert talks, collaborative sessions and mentoring opportunities!

Apply & secure your spot

Image: HIDA

Screenshot of a video from GLO-RIA@HEMERA large stratospheric balloon campaign

New Services in the Helmholtz Cloud

From online teaching to project coordination and secure collaboration: new services on helmholtz.cloud support everyday research workflows. Explore open edX, OpenProject, eduMEET and SciCat, some of our latest additions. If something is still missing, help shape future offerings by voting for new service ideas.

Vote for service ideas

Image: Screenshot of a video from GLORIA@HEMERA large stratospheric balloon campaign

Promotional graphic for the “HMC Project Call 2026” with a blue network-style background and a “Now Open” label.

HMC Project Call 2026 Now Open

 
The HMC Project Call 2026 is open! Apply for funding for interdisciplinary projects in metadata, FAIR data and research data infrastructure. Want to learn more or find collaborators? Join our upcoming information event to explore the call, ask questions and connect with potential project partners.

Apply & join the info event

Image: HMC

decorative image
Created by Firefly

Funding Opportunities

Next Frontier AI Challenge: SPRIND – the German Federal Agency for Breakthrough Innovation – is running a challenge to build three European frontier AI labs. Deadline: May 31, 2026.

Emmy Noether Program: DFG Invites Highly Qualified Researchers in Early Career Phases in the Field of AI Methods to Submit Proposals. Deadline: June 10, 2026.

NeurIPS 2026 Call for Ethics Reviewers: Ethics in ML research is an important part of ensuring the integrity and impact of scientific work. NeurIPS 2026 is looking for Ethics Reviewers to support this process.

Orena SAVE FOCUS Challenge: Help push long-range video understanding to make surgery safer. Choose between three tracks: Frame Track, Segment Track, Procedure Track. Opening submissions: July 15, 2026.

ORena SAVE FOCUS is a joint initiative of the Wellcome Leap SAVE program and the ORena initiative of the DKFZ Intelligent Medical Systems (IMSY) lab, co-sponsored by Helmholtz Imaging.

Volkswagen Foundation: Join the live webinar on October 7, 2026 at 2 PM to learn more about the foundation’s funding portfolio.

Helmholtz Imaging Conference 2024, Heidelberg, May 14-15; group of people sitting on chairs in a cirlce; photo taken from bird's eyes' perspective
Jörg Modrow

External events

Do you know of any imaging-related events that could be of interest to our imaging community? We’d love to hear from you. Share the details with us at support@helmholtz-imaging.de.

Visual; abstract background lines and dots, blue color
Envato Elements

New publications

Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance by Vanessa Emanuela Guarino et al. (accepted at CVPR 2026)

Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans by Sebastian Stricker et al. (proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026)

Discover all publications by Helmholtz Imaging

Job openings

Helmholtz Association

AWI
Postdoc in “Cloud physics” (f/d/m/x)

FZ Jülich
Scientist / Postdoc – Smart Vision-Based Control of Microbial Arenas (new Helmholtz Imaging project Vi(MA)²C project)

PhD Thesis – In situ TEM of Coulomb phase excitation in artificial spin ice matter

Postdoc / Research Software Engineer – Real-Time Live-Cell Image Analytics and Experimental Control

GEOMAR
Data Scientist (m/f/d)

GFZ
Research Scientist (f_m_x) – GNSS Reflectometry

Postdoctoral Researcher (f_m_x) – Adaptive Digital Twin Prototypes for EGS Systems

HEREON
Scientist in Marine Digital Innovation

More jobs at Helmholtz

External

German Center for Cardiovascular Research (DZHK) & University Medicine Greifswald (UMG)
W2 Professorship for Cardiovascular Imaging­