With "OrgaPlexing", scientists at the MPI of Immunobiology and Epigenetics have developed a new method that shows how guardian cells of the immune system, the macrophages, orchestrate their cell structures during inflammation or bacterial infection, making it possible to observe the interactions between several organelles simultaneously and thus providing insights into cell metabolism and the production of inflammatory molecules.

Max Planck scientists will present a low-field magnetic resonance imaging (MRI) scanner in Lindau. Two researchers from the MPI for Biological Cybernetics in Tübingen, Germany, will present a model of a new low-field MRI system. It combines hyperpolarization with imaging techniques that can be run at low magnetic field strengths. The quality of the MRI images can be enhanced with the help of artificial intelligence.

Since 2019, the Research Training Group (RTG) "Intraoperative Multisensoric Tissue Differentiation in Oncology," a collaboration between the University of Stuttgart and the University of Tübingen, has been advancing research in medical technology. With the help of new sensor methods, the researchers want to help make surgical procedures on cancer patients safer and more effective.

An unexpected discovery surprised a scientist at the Max Planck Institute for Intelligent Systems in Stuttgart: nanometer-sized diamond particles, which were intended for a completely different purpose, shone brightly in a magnetic resonance imaging experiment – much brighter than the actual contrast agent, the heavy metal gadolinium. Could diamond dust one day become a novel contrast agent used for MRI?

In the medicine of the future, tiny robots will navigate independently through tissue and medical instruments will indicate their position inside the body during surgery. Both require doctors to be able to localize and control the devices precisely and in real time. Scientists from the German Cancer Research Center (DKFZ) have now described a signaling method based on an oscillating magnet that can significantly improve such medical applications.

How well do the algorithms used in the AI-supported analysis of medical images perform their tasks? This depends to a large extent on the metrics used to evaluate their performance. An international consortium led by scientists from the German Cancer Research Center and the National Center for Tumor Diseases has compiled the knowledge available worldwide on the specific strengths, weaknesses and limitations of the various validation metrics.

Pancreatic cancer is one of the deadliest types of cancers in humans. Chemotherapies attack not only the tumor cells but also healthy cells throughout the body. Innovative nanoparticles could be a new approach to treat cancer more precisely. The approach was developed by a research team from the Max Planck Institute (MPI) for Multidisciplinary Sciences, the University Medical Center Göttingen (UMG), and the Karlsruhe Institute of Technology.

High-resolution microscopy technology bypassing the diffraction limit - 26/10/2023

From micro- to nanoscope

It has long been impossible to distinguish objects closer than 200 nanometres using light microscopes. However, novel devices developed by a company called abberior Instruments GmbH, which use technology developed by Nobel Prize winner Prof. Dr. Stefan Hell and his teams in Heidelberg and Göttingen, are now able to bypass this resolution limit and provide detailed insights into living cells in the lower nanometre range.

Help with osteoarthritis of the knee - 27/09/2023

Individualised knee-joint cartilage: artificial tissue that fits

Knee joints are subject to considerable stress throughout our lives. The natural shock absorber cartilage wears out over a lifetime, so many people develop knee osteoarthritis. Treatment is available in the form of artificial cartilage. This "off-the-shelf" tissue often does not grow well. Researchers are developing an individualised cartilage replacement made from biomaterial that is produced by 3D printing based on MRI images.

Detecting drug resistance of tumour cells - 25/05/2023

AI-assisted diagnostics declares war on lung cancer

Lung cancer is one of the most common cancers and has a particularly high mortality rate. A significant challenge in treating this disease lies in the resistance of lung tumours to conventional drug therapies, rendering chemotherapy ineffective. There is hope on the horizon as a team of experts from Baden-Württemberg has joined forces to develop an innovative AI-supported test procedure that paves the way for individualised therapy approaches.

Researchers at the University of Konstanz publish image analysis software that automatically detects and classifies defects of animal development. Thanks to artificial intelligence, "EmbryoNet" outperforms human experts in terms of speed, accuracy and sensitivity.

How can camera images be used during minimally invasive surgeries to assess whether the operated organ is sufficiently perfused with blood? Scientists from the German Cancer Research Center (DKFZ) and the Städtisches Klinikum Karlsruhe have now succeeded in automatic monitoring of ischemia during a kidney surgery using only the optical properties of the tissue and not relying on injection of contrast agent.

Photon-counting technology - 01/02/2023

PC3 consortium: innovative computed tomography for Baden-Württemberg

The University Hospitals of Freiburg, Tübingen and Mannheim have been cooperating with each other since 2021 to test new types of computed tomography devices. With the help of photon-counting technology, the aim is not only to improve patient care, but also to encourage local companies to develop downstream data processing technologies.

Researchers have created a tool that maps how breast cancer grows in previously unseen detail, and highlights how the cells around the tumour may be the key to controlling the spread of disease. The new technology can trace which populations of breast cancer cells are responsible for the spread of the disease, and for the first time highlights how the location of cancer cells could be as important as mutations in tumor growth The new study is…

Dossier - 08/09/2022

Imaging methods in medical diagnostics

Many different imaging methods are available these days and are used in almost all medical disciplines to visualise disease-related changes. Depending on the problem and the clinical picture, very different structural and functional parameters can be visually recorded for diagnosis and used for therapy.

Microrobots have the potential to revolutionize medicine. Researchers at the Max Planck ETH Centre for Learning Systems have now developed an imaging technique that for the first time recognises cell-sized microrobots individually and at high resolution in a living organism. This is an important step towards precise control of the robots and their clinical translation.

Intelligent Diagnostics - 09/02/2022

AI for added value in digital melanoma diagnostics

Intelligent Diagnostics is an interdisciplinary project that brings together the latest technologies and research institutes to better support doctors in diagnosing skin cancer through innovative imaging and artificial intelligence.

Treatment resistance is a central problem in the treatment of cancer. Bone and soft tissue tumors – known as sarcomas – in adolescents and young adults often stop responding to treatment too. This is because cancer cells develop a large number of new characteristics as the disease progresses and often become resistant to drugs that were originally effective.

rMSI technology - 08/11/2021

New multispectral imaging technology improves endoscopic tumour detection capabilities

The quality of minimally invasive surgery depends to a large extent on the imaging properties of the endoscopes used. The Mannheim-based company Thericon GmbH has developed a multispectral imaging technology that overlays views from multiple light channels in real time to create a detailed image on which tumours can be better identified.

Nanoparticles are omnipresent in our environment: Viruses in ambient air, proteins in the body, as building blocks of new materials for electronics, or in surface coatings. Visualizing these smallest particles is a problem: They are so small that they can hardly be seen under an optical microscope.

A pioneering technique developed by the Prevedel Group at EMBL allows neuroscientists to observe live neurons deep inside the brain – or any other cell hidden within an opaque tissue. The technique is based on two state-of-the-art microscopy methods, three-photon microscopy and adaptive optics. The paper reporting on this advancement was published on 30th September 2021 in Nature Methods.

Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel Prize in Chemistry. In an international collaboration, AI researchers from Tübingen have now developed an algorithm that significantly accelerates this technology.

PixelBiotech GmbH - 27/07/2021

Searching for tracks with cytogenetics and AI

The startup Pixelbiotech combines fluorescence techniques with artificial intelligence to detect DNA and RNA in medical samples. HuluFISH is the name of the method, which allows for countless applications - from detecting viral infections, such as COVID-19 or African swine fever virus, to the quality control of gene and immunotherapeutic procedures in cancer medicine.

Scientists from the EMBL and the German Cancer Research Center have presented a new method for generating metabolic profiles of individual cells. The method, which combines fluorescence microscopy and a specific form of mass spectroscopy, can analyze over a hundred metabolites and lipids from more than a thousand individual cells per hour. Researchers expect the method to better answer a variety of biomedical questions in the future.

Do BMMFs, the novel infectious agents found in dairy products and bovine sera, play a role in the development of colorectal cancer? Scientists led by Harald zur Hausen detected the pathogens in colorectal cancer patients in close proximity to tumors. The researchers show that the BMMFs trigger local chronic inflammation, which can cause mutations via activated oxygen molecules and thus promote cancer development in the long term.