Helmholtz Imaging

News, Events & Jobs

Wanted: Support for our research on Imaging Science Networks

Helmholtz Imaging is looking for support for our research on Imaging Science Networks.

Decorative image with cables and lightning

2nd AI-HERO HACKATHON On Energy Efficient AI - December 12-14th 2022

2nd AI-HERO HACKATHON On Energy Efficient AI featuring use cases from health & energy

HMC Virtual Conference October 5th to 6th 2022

The first virtual conference of the Helmholtz Metadata Collaboration (HMC) will take place 05 and 06...

Portfolio

Overview Portfolio

Helpdesk

The HelpDesk is your gateway to the world of Helmholtz Imaging! Simply send an e-mail and we will help you out. Any request is welcome, whether it is a question about administrative or imaging-related matters, consulting requests, project support, Helmholtz Imaging Collaborations or access to our portfolio.

Solutions

Helmholtz Imaging Solutions provide software driven strategies for solving common problems across imaging domains and tools. In reality, being aware of a software solution for a scientific problem is often followed by a time-consuming process of figuring out how to install the specific tool and how to precisely use it to reproduce a published result. We provide a framework to unify and simplify this process. Additionally, we curate a catalog of Helmholtz Imaging Solutions developed within our community.

Modalities

Helmholtz Imaging Modalities is the heart of the Helmholtz Imaging Network. Get to know the imaging experts from the Helmholtz Association, explore the amazing portfolio of cutting-edge instruments from satellites to synchrotrons, dive into the exciting world of imaging applications. Helmholtz Imaging Modalities facilitates finding partners and collaborators for innovative projects, with just the right complementary expertise necessary to conduct research for grand challenges.

Collaborations

Struggling with an imaging-related project? Apply for a Helmholtz Imaging Collaboration and tap into the expertise of Helmholtz Imaging! Collaborations enable you to team up with one of our units for an elongated period of time (up to 6 months or even longer) to work on a project together. 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.

Research

Overview Research

Projects

Helmholtz Imaging Projects are granted to cross-disciplinary research teams that identify innovative research topics at the intersection of imaging and information & data science, initiate cross-cutting research collaborations, and thus underpin the growth of the Helmholtz Imaging network. Discover our outstanding projects or apply for the annual call.

Publications

Helmholtz Imaging captures the world of science. Discover unique data sets, ready-to-use software tools, and top-level research papers.

The platform’s output originates from our research groups as well as from projects funded by us, theses supervised by us and collaborations initiated through us. Altogether, our publications showcase the whole diversity of Helmholtz Imaging.

Highlight Projects

Overview Projects

Illustration of radiating a probe to analyse its structure

Advanced Soft-X-Ray Microscopy Solutions

The project aims to develop a method that will speed up the analysis of diffraction patterns that arise in UV and soft X-ray light microscopy, so that the structure of the studied sample can be calculated more efficiently. The method could make the three-dimensional study of nanomaterials considerably easier.

The Hidden Image of Thawing Permafrost

The project aims to develop a method for determining just how extensively thaw processes have already progressed in permafrost regions. The machine learning approach to be developed will be used to analyse radar images from aircraft in order to learn more about the properties of the subsurface permafrost.

Decorative image of cells in red and green colors

Tackling the segmentation and tracking challenges of growing colonies and microbialdiversity

An artificial intelligence will observe the growth of bacteria: from microscope images of bacterial cultures taken at regular intervals, it will precisely track the development and division of individual cells – even when multiple bacterial species are cultivated together.

MRT images of human brain being transformed into one analyzing image

Geophysical Joint Inversion for Accurate Brain Myelin Mapping

The aim of this project is to develop a method for clinically diagnosing neurodegenerative diseases. The content of myelin in the brain – a substance that becomes degraded in diseases – will be quantified using methods from geophysics in order to facilitate early detection and treatment.

Decorative image with blue, green, pink and yellow colors

Breaking resolution limit of electron microscopy for magnetic materials

A new method will make it possible to take images of the magnetic properties of materials under the electron microscope and to correlate these properties with their atomic structure. In order to achieve high resolution, a special algorithm must be developed to compute the magnetic properties from the microscope data.

Rainbow-coloured image of a mountain landscape to reveal different layers within the rocky structure

Artificial Intelligence for 3D multimodal point cloud classification

The aim is to develop an artificial intelligence that can achieve the fusion of two-dimensional data with three-dimensional information. Based on this, the software would simultaneously be able to recognise image characteristics as well as the spatial relationships between different objects.

Blue and pink dots on black background showing nuclei

Ultra Content Screening for Clinical Diagnostics and Deep Phenotyping

A method will be developed in which selected biomarkers in tumour and bone marrow cells from cancer patients will be examined and analysed automatically. The novel technology is based on ultra content screening technology, which allows detailed insights at the single cell level.

Multi-Satellite imaging for Space-based Landslide Occurrence and Warning Service

In order to detect impending landslides before they occur and to enable reliable emergency mapping after a landslide, the researchers are combining optical data with radar data from satellites. Using machine learning methods, computers will be trained to recognise the tiniest of changes in things like sloping landscape surfaces.

Double image showing nanoparticles under electronic microscope in black and white and coloured

Leveraging Cross-Domain Synergies for Efficient Machine Learning of Nanoscale Tomogram Segmentation

The aim is to develop an adaptable algorithm that can be used to perform different tasks in data and image analysis without needing to be trained with new, laboriously annotated images for each separate task.

About Us

Helmholtz Imaging's mission is to unlock the potential of imaging in the Helmholtz Association. Image data provide a substantial part of data being generated in scientific research. Helmholtz Imaging is the overarching platform to better leverage and make accessible to everyone the innovative modalities, methodological richness, and data treasures of the Helmholtz Association.

For us, imaging is the whole process from data acquisition and data preparation to data management and data analysis. For this reason, we feel that the anchoring at the three host centers DESY, DKFZ and MDC is optimal to serve the entire imaging pipeline and jointly generate the greatest possible added value for the entire association. We are dedicated to making Helmholtz Imaging an internationally visible platform for imaging research.

Helmholtz Imaging is one of five platforms (HIDA, HIFIS, Helmholtz.AI and HMC) initiated by the Helmholtz Information & Data Science Incubator.