Helmholtz Imaging Annual Conference 2025

25 Jun 2025, 09:00 → 27 Jun 2025, 15:00 Europe/Berlin

Schinkelhalle Potsdam

Image: Sven Velten, Lars Bocklage, Ilya Sergeev, DESY & Ralf Röhlsberger, HI Jena

The Helmholtz Imaging Conference 2025 is set to take place, and we are thrilled to invite you! This year, we’re bringing imaging enthusiasts to Potsdam on June 25-27, and you won’t want to miss it! This dynamic event is open to all scientists. If you’re involved in imaging research or using imaging techniques or images in your research, this is your conference!

Get ready for:

• 🌟  Inspiring keynotes

• 💬  Dynamic discussions

• 🧠  Insightful scientific talks

• 🖼️  Interactive poster sessions

• 🤝  Expanding your network with fellow researchers 

• 📢  Presenting your amazing work

• 📈  Staying ahead with the latest trends in imaging

• 🚀  Helping shape the future of Helmholtz Imaging! 

 

We cannot accept TALKS anymore; POSTER submission is possible until May 31!

 

R E G I S T R A T I O N  I S  STILL O P E N   !

 

To register for the Pre-Workshop on „Advances and Challenges in Zebrafish Image and Video Analysis“ please use this LINK.

PROGRAM HIGHLIGHTS

We’re putting together a comprehensive program for you! Here’s a sneak peek:

Inspiring scientific talks including keynotes by: Robert Haase (University of Leipzig) Laura Waller  (UC Berkeley) Manuel Guizar-Sicairos (Paul Scherrer Institut, Villingen)

BYOIC – Bring Your Own Imaging Challenge! THE unconference session will return! Submit your topic and ideas as an issue and let the imaging community tackle it together. >> More...

Pre-Workshops Kick off the conference with your own workshop! On Wednesday morning, before the main event begins, you have the exciting opportunity to host a pre-conference workshop. Don’t miss this chance to connect, share, and inspire! >> More...

 

OUR KEYNOTE SPEAKERS

	Robert Haase is a bio-analysis expert at Leipzig University. He developed GPU-accelerated tools like clEsperanto and CLIJ, advancing biological image processing efficiency.
	Laura Waller is a professor at UC Berkeley and an expert in computational imaging. She pioneered advancements in phase retrieval and Fourier ptychography, revolutionizing microscopy and optical imaging.
	Manuel Guizar-Sicairos is a physicist at EPFL and PSI, specializing in computational X-ray imaging. He co-developed advanced ptychography and nanotomography techniques for nanoscale 3D imaging in fields like neuroscience and battery research.

 

Don’t miss out – mark your calendars, and get ready to be inspired! 🚀

Wednesday 25 June

09:00 → 12:00 Pre-Conference Workshops

12:00 → 13:00 Registration & Coffee

13:00 → 13:30 Welcome / Introduction

13:30 → 14:15 Keynote 1: "Large Language Models for Bio-Image Data Science" by Robert Haase

Large Language Models (LLM) change the way how we write scientific image data analysis code. In this talk we will discuss the current state of the art, learn about benchmarks in this domain and open questions, e.g. in the context of reproducibility and transparency of the code-generation process using LLMs. We will see multiple human-computer-interfaces in action that facilitate how data scientists analyse bioimaging data using LLM-generated code.

14:15 → 14:30 Workflows for Imaging Pipeline: Turbocharged 3D Histology: Revolutionizing Medical Tissue Analysis with Automation, Light Sheet Microscopy, and Nanobodies

14:30 → 14:45 Workflows for Imaging Pipeline: EAP4EMSIG – An AI-powered Pipeline for Real-time Event-based Experiment Automation in Microfluidic Live Cell Imaging

14:45 → 15:00 Workflows for Imaging Pipeline: AutoCoast: A Web-Based Coastal Monitoring Platform

15:00 → 15:30 Coffee Break

15:30 → 15:45 Multi-modality / Scalability: Multi-Sensor Multi-Stream Data Fusion Using Deep Learning for Hyperspectral Point Cloud Segmentation

15:45 → 16:00 Multi-modality / Scalability: Four-dimensional visualization of volcanic landforms based on optical photogrammetric and radar tomographic data

16:00 → 16:15 Multi-modality / Scalability: Virtual staining for 3D X-ray histology of bone implants with deep learning

16:15 → 16:45 Coffee Break

16:45 → 17:00 Data Curation & Data Handling: The EM Glossary: A Community Resource Providing Harmonised Terminology in Electron Microscopy

17:00 → 17:15 Data Curation & Data Handling: Making marine image data FAIR

17:15 → 17:30 Data Curation & Data Handling: PixelPatrol: Pre-validation for Scientific Image Datasets

17:30 → 19:00 Poster Session & Fingerfood

Thursday 26 June

09:00 → 09:10 Opening

09:10 → 09:55 Keynote 2: "Nanostructure mapping in 3D and beyond through computational X-ray imaging" by Manuel Guizar-Sicairos

Access to nanoscale 3D distribution and anisotropy is of chief importance for studying functional hierarchical materials, for example in biology, materials science, and energy research. X-rays offer unique opportunities to probe nanostructure in a minimally intrusive, and non-destructive, procedure. In order to reach the highest resolution and quality, computational imaging techniques play an increasingly important role, due to limitations in X-ray optics or the need to reconstruct hyperdimensional images from 2D data. This talk will showcase the potential of computational X-ray imaging for nanostructure mapping, with details of the mathematical inversion procedure.

09:55 → 10:10 Image Reconstruction Part 1: Directional Full-Field Dark-Field Transmission X-ray Microscopy at the Nanoscale

10:10 → 10:25 Image Reconstruction Part 1: Live 3D-Reconstruction of X-Ray Tomographic Data

10:25 → 10:55 Coffee Break

10:55 → 11:10 Image Reconstruction Part 2: AVANTI - Advanced imaging analysis methods for Xray tomoscopy of dynamic processes

11:10 → 11:25 Image Reconstruction Part 2: Intensity Contrast Transfer Phase Retrieval

11:25 → 11:40 Image Reconstruction Part 2: Advancements in Ptychography through the Alternating Amplitude Flow algorithm

11:40 → 11:55 Image Reconstruction Part 2: Lensless EUV Microscopy for Materials and Biological Nanoscale Imaging

11:55 → 12:10 Helmholtz Model Zoo: The Helmholtz Model Zoo: Enabling AI Model Sharing and Inference in the Helmholtz Cloud

12:10 → 13:40 Group Picture & Lunchbreak

13:40 → 14:10 BYOIC - Bring Your Own Imaging Challenge!: BYOIC Pitches

14:10 → 15:40 BYOIC - Bring Your Own Imaging Challenge!: Session

15:40 → 16:10 Coffee Break

16:10 → 16:25 Data Acquisition: Rapid measurement of ice core chemical maps

16:25 → 16:40 Data Acquisition: High-resolution 3D subsurface imaging with drone-borne SAR systems

16:40 → 16:55 Data Acquisition: Deep Generative Phase Reconstruction for X-Ray Holography

16:55 → 17:00 Setup Break

17:00 → 17:30 Awarding Ceremony BSIC: Best Scientific Image Contest Awarding

17:30 → 19:30 Socializing in Courtyard

19:30 → 21:30 Conference Dinner

Friday 27 June

09:00 → 09:10 Opening

09:10 → 09:55 Keynote 3: "Computational microscopy of dynamic samples" by Laura Waller

Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems. This talk will describe end-to-end learning for development of new microscopes and space-time algorithms that use computational imaging to enable 3D fluorescence and phase measurement with high resolution and dynamic samples. Traditional model-based image reconstruction algorithms work in synergy with neural networks to learn both the image reconstruction, the motion maps and the optimized data capture strategy, both for image reconstruction and aberration correction.

09:55 → 10:10 AI for Image Analysis Part 1: CytoNet: A Foundation Model for Microscopic Analysis of Cytoarchitecture in the Human Brain

10:10 → 10:25 AI for Image Analysis Part 1: Diffusion Based Unsupervised Temporal Interpolation for 4D Medical Imaging

10:25 → 10:55 Coffee Break

10:55 → 11:10 Cross-disciplinary Data Integration: VoltRon: A Spatial Omics Analysis Platform for Multi-Resolution and Multi-omics Integration using Image Registration

11:10 → 11:25 Cross-disciplinary Data Integration: Use of Satellite Synthetic Aperture Radar (SAR) Images to tune a semi-empirical Model for Wind Speed Deficits downstream of offshore Wind Farms

11:25 → 11:40 Moonshot Projects: Imaging goes Quantum - Quantum Machine Learning for Image Generation

11:40 → 12:10 Coffee Break

12:10 → 12:25 AI for Image Analysis Part 2: Explainable Unsupervised Model for Coastline Change Monitoring in Sentinel-2 Time Series

12:25 → 12:40 AI for Image Analysis Part 2: EchoVisuAL v1.16: An automated high-precision analysis workflow for mouse echocardiograms in preclinical cardiovascular research

12:40 → 12:55 AI for Image Analysis Part 2: ConText Transformer: Text-guided Instance Segmentation in Scientific Imaging

12:55 → 13:10 AI for Image Analysis Part 2: LungVis Family: an AI-powered organ imaging technology enables quantitative and interactive exploration of lung morphometry and aerosol inhalation

13:10 → 13:15 Closing

13:15 → 14:15 Networking Lunch