Biological image analysis using AI

Machine Learning




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February 7, 2026 08:45

Biomedical Image Analysis Using AI – New in UDE: Jianxu Chen

High-performance microscopes provide high-resolution insight into tissues and cells. Artificial intelligence helps analyze vast amounts of complex image data. Dr. Jianxu Chen, newly appointed Professor of Biomedical Analytical AI at the Faculty of Medicine at the University of Duisburg-Essen (UDE), conducts research in this field at the Leibniz Institute for Analysis (ISAS). V. With this appointment, UDE and ISAS continue their successful collaboration. Professorships are awarded according to the Jülich model.

“Machine learning algorithms can analyze thousands of microscopic images within minutes and identify information that remains hidden from the human eye and brain,” explains Professor Jianxu Chen. The challenge lies in comprehensively analyzing vast amounts of complex image data. These are often three-dimensional, captured over multiple image channels, and sometimes generated over long periods of time. “The key is to be able to identify relevant patterns, changes, or correlations, such as minimal differences between healthy and diseased cells.”

This is where Chen’s research comes into play. The computer scientist works with his team to develop bespoke AI software, always based on a specific biomedical question. To achieve this aim, Chen is working closely with research groups at Essen University Hospital, UDE and ISAS. The 37-year-old sees his research as a bridge between biomedicine and computer vision. “In fact, the best results are achieved when AI techniques can be incorporated even before imaging is planned.” This allows the maximum amount of information to be extracted from the data.

Chen studied mathematics at the University of Science and Technology of China (2007-2011). I received my PhD in 2017. in Computer Science and Engineering from the University of Notre Dame (USA). He spent four years at the Allen Institute for Cell Science in Seattle, where he led a research and development unit focused on machine learning in the analysis of cell images. In 2021, Chen moved to Dortmund to join ISAS and become head of AMBIOM – Microscopy Biomedical Image Analysis Junior Research Group. He has received several national and international grants for his research, including various awards from the German Research Foundation (Deutsche Forschungsgemeinschaft), the Federal Ministry for Research, Technology and Space (Bundesministerium für Forschung, Technologie und Raumfault), and the Chan Zuckerberg Initiative (USA).

About Space Science Institute
The Leibniz Institute for Analytical Research – ISAS – eV develops powerful analytical methods for health research. Through our innovations, we contribute to the prevention, early diagnosis, and improved treatment of conditions such as cardiovascular disease, autoimmune disease, and cancer. The goal is to promote personalized treatment. To achieve this objective, ISAS combines knowledge from biology, chemistry, medicine, pharmacy, physics and computer science. The institute works closely with universities in Germany and abroad, including through joint appointments.

Note to editors:
A photo reporting the appointment of Professor Jianxu Chen (Photo credit: ISAS) is available at the following link: https://www.isas.de/en/press/archive/professur-chen.

Editorial department
Sara Rebein, Leibniz Institute for Analysis – ISAS – eV
Phone number 0231/1392-234, sara.rebein@isas.de


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