Technical University of Munich (TUM)
Technische Universität München (TUM)

Germany

The Technical University of Munich (TUM) is one of Europe’s leading universities in science and technology, and one of Germany’s Universities of Excellence. With our research agenda “human-centered engineering“ we put people and their lives at the heart of our scientific endeavours – whether we are investigating the origins of life, matter and the universe, or looking for solutions to the major challenges for our society.

Research news

Latest top-level research from a broad range of subjects that is unparalleled in continental Europe: www.tum.de/news

Top ranking results

International rankings regularly place TUM among the top universities in Germany and in Europe. Rankings

Our agenda: Human-centered research and innovation

We are seeking to understand the essential foundations of life, to maintain health and target diseases, and to shape a sustainable living enviroment. We are creating new materials and advanced manufacturing technologies, we are pioneering the digital transformation for a secure future – and are above all committed to responsible research and innovation in service of society.
www.tum.de/research

Join us: Research careers, graduate studies and more

Talent is the key to our success. Join us as professor, postdoc, or for your graduate studies (PhD or master‘s level; no tuition fees) in a vibrant academic community.

Technical University of Munich (TUM) retains sole responsibility for content © 2020Technical University of Munich (TUM).

Portrait: Technical University of Munich – 150 Years culture of excellence

1 June 2019 - 31 May 2020

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Technical University of Munich (TUM) published between 1 June 2019 - 31 May 2020 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

Count Share
601 168.54

Outputs by subject (Share)

Subject Count Share
Earth & Environmental Sciences 30 8.03
Life Sciences 221 40.21
Chemistry 152 69.98
Physical Sciences 262 60.57

Highlight of the month

AI offers window into brain vasculature

© Callista Images/Getty

© Callista Images/Getty

A technique that pairs artificial intelligence with methods for making tissues transparent could help scientists better understand how abnormalities in the brain’s blood flow contribute to stroke, dementia and other neurological conditions.

Changes to the structure of the blood vessels in the brain are indicative of many neurological disorders, including Alzheimer’s disease, stroke and brain injuries.

Now, a team co-led by researchers at the Technical University of Munich has used special dyes and chemical stains to make mouse brains see through. They then applied high-resolution imaging, followed by deep-learning approaches, to analyse all the brain’s blood vessels down to the micrometre scale.

In this way, they created a reference map of brain vasculature in three standard lab strains of mice, which all showed slight differences in their vessel architectures.

Supported content

  1. Nature Methods 17, 442–449 (2020). doi: 10.1038/s41592-020-0792-1

View the article on the Nature Index

See more research highlights from Technical University of Munich (TUM)

More research highlights from Technical University of Munich (TUM)

1 June 2019 - 31 May 2020

International vs. domestic collaboration by Share

  • 40.19% Domestic
  • 59.81% International

Note: Hover over the graph to view the percentage of collaboration.

Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.

Affiliated joint institutions and consortia

Return to institution outputs