Skip to content
Mass spectrometric analysis of lipids

New Unique LipidCreator

Dortmund, 16th June 2020

Science hast been increasingly using the many different functions of lipids in the human body to diagnose diseases earlier and to better predict their course. Although lipids have a big potential as biomarkers, their analysis has so far been technically complex. Therefore, researchers at the Leibniz Institute for Analytical Sciences (ISAS) and the Institute of Analytical Chemistry at the Universität Wien (University of Vienna) have developed the first software for targeted mass spectrometric analyses of lipids. "LipidCreator has a high clinical relevance. The software enables us to determine specific lipid groups and lipid signal molecules, which we have decoded using mass spectrometry, faster and more efficiently than before. This way, we gain insights into blood coagulation and the origin of thromboses, for example", explains Ass.-Prof. Dipl.-Biol. Robert Ahrends from the Universität Wien and former head of the "Lipidomics" research group at ISAS.

Various application areas and large lipid database

The new software, which the renowned journal "Nature Communications" has recently reported on, is an important step towards establishing the analysis of all lipids in a cell, tissue or organism. Not only does it enable new investigations in health research, but it is also suitable for various laboratory environments. At the same time LipidCreator serves as a huge library of lipid knowledge.

Lipids play an important role in health

Lipids are chemically very different, have a complex structure and consist of combinations of different building blocks such as sugars, fatty acyls and binding types. In public perception, they are often notorious as fats that make people ill and fat - although they play an important role in the human body. For life is enveloped in lipids, fats and waxes: they form cells and organelles, convey information, protect the organism from harsh environmental conditions and serve as energy building blocks.

The mass spectrometry required for LipidCreator has become both faster and more sensitive in recent years. Today, up to 500 lipids can be analyzed by mass spectrometer.

Read more about the LipidCreator in Nature Communications.



Further press releases

24th January 2024

EfficientBioAI: New Open-Source Software Makes AI Models Lighter and Greener

Artificial intelligence has become an integral part of research. However, the better and more complex the models become, the higher their energy consumption. Researchers at ISAS and Peking University have therefore developed ready-to-use and open software that compresses existing bioimaging AI models. With the help of the new toolbox, scientists can now run their models faster and with significantly lower energy consumption.

Die Abbildung zeigt die 3D-Semantiksegmentierung von Osteozyten in Mäuseknochen vor und nach der Kompression des Modells mir EfficientBioAI Die Bilder wurden mittels Lichtblatt-Fluoreszenzmikroskopie aufgenommen.
11th December 2023

ComplexEye & AI Enable Faster Migration Analysis of Immune Cells

How and where immune cells such as neutrophil granulocytes migrate, for instance whether they infiltrate tumours, is crucial for cancer patients. They could benefit from drugs that prevent this migration. Until now, the migration behaviour of immune cells could only be investigated using conventional video microscopy. However, researchers at the University of Duisburg-Essen and ISAS have now developed the ComplexEye. With their new microscope for the high-throughput analysis of drug substances, they are now able to analyse significantly higher numbers of neutrophils for their migration behaviour.

Vergleich ComplexEye-Objektiv und 28,5-mm-Objektiv eines konventionellen Mikroskops.
11th November 2022

Chan Zuckerberg Initiative Funds Two Projects from Dortmund

To extend the image analysis platform napari, Chan Zuckerberg Initiative is funding two projects of the ISAS research groups AMBIOM - Analysis of Microscopic BIOMedical Images and Spatial Metabolomics.

Die linke Abbildung zeigt eine Mikroskop-Aufnahme von Tumor-Zellen. Auf der rechten Seite ist die Segmentierung mittels gängiger Computerprogramme zu sehen. Sobald die Zellen dicht nebeneinander liegen oder überlappen (s. blaue Markierung) verschlechtert sich die Segmentierung. Das vollautomatische Tracking führt daher im Ergebnis zu Ungenauigkeiten.
18th November 2021

Kristina Lorenz Wins Phoenix Prize

Prof. Dr. Kristina Lorenz and her team found a peptide agent against heart failure. For this achievment, Lorenz has been awarded the Phoenix Pharmacy Prize in the category "Pharmacology and Clinical Pharmacy".

Die Würzburger Professorin Kristina Lorenz mit den drei anderen Trägern des 2021er Phoenix Pharmazie-Wissenschaftspreises.
20th September 2021

New AMBIOM Group: Jianxu Chen Wants to Develop „Eyes & Brains“

Led by Dr Jianxu Chen, the junior research group AMBIOM plans to develop algorithms and methods that will allow countless image data worldwide to be analysed automatically, quickly and economically.

Dr. Jianxu Chen hat seine Forschungsarbeit am ISAS aufgenommen.
21st July 2021

New Method for Molecular Functionalization of Surfaces

An interdisciplinary team of scientists present a new approach on how stable and yet very well-ordered molecular single layers can be produced on silicon surfaces - by self-assembly.

Hochaufgelöstes Rastertunnelmikroskopie-Bild der geordneten NHC-Einzellage auf Silizium; NHC steht für "N-heterozyklische Carbene" (Ausschnitt).