Correlated Imaging Series: Multimodal Imaging and Omics Analysis to characterize senescent cells


Published November 21, 2022
Technology
Category

On Friday, November 18th at 13:00 CET, Martina Marchetti-Deschmann, TU Wien, delivers a lecture on “Multimodal Imaging and Omics Analysis to characterize senescent cells” as part of the Correlated Imaging Series, brought to you by COMULIS and Euro-BioImaging.

Abstract:
Martina Marchetti-Deschmann introduces the concept of MALDI Mass Spectrometry based imaging (MALDI MSI) in the context of investigations on aging skin. Our skin is constantly exposed to solar radiation, high oxygen levels, and environmental pollutants and lipid oxidation is an already described senescence-associated secretory phenotype (SASP). Previously several oxidized phosphatidylcholines (OxPCs) were characterized in a semi-targeted lipidomic approach. We now went one step further and studied the localization and relative quantity of lipids in a 3D skin model. Our study aims to evaluate the epilipidomic effects via untargeted multimodal imaging focusing on OxPCs. We employed MALDI MSI to generate OxPC distribution maps in the skin model but also in skin biopsies from donors of different age. The synergy of mass spectrometry and high-definition light-microscopy and immunohistology images yield a detailed and comprehensive result for UV-induced alterations. 

Friday, December 17th at 13:00 CET

Join via internet: https://us02web.zoom.us/j/760003029 or via phone:

Meeting ID: 760 003 029 Find your local number: https://zoom.us/u/acj97wMY13


More news from Euro-BioImaging

PCI Node upgrade

January 9, 2026

Phase Contrast Imaging Flagship Node Trieste will benefit from Elettra 2.0 upgrade 

The Elettra Sincrotrone Trieste – the beamline of Euro-BioImaging’s Phase Contrast Imaging Flagship Node – is undergoing a massive upgrade that will significantly enhance…

foundingGIDE 2 years

January 8, 2026

A Two-Year Report on foundingGIDE's progress in Image Data Standardization

The advancement of scientific discovery is increasingly dependent upon the capacity to manage and integrate vast, complex datasets. In life sciences, biological and preclinical…

January 7, 2026

Innovating for a Greener Future: ZEISS Shares Sustainability Strategies with the Bioimaging Community

As part of the Horizon Europe EVOLVE project (GA# 101130986) and the Euro-BioImaging Expert Group on Remote Access…