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Gasparin, F. ; Prebeck, A. ; Solda, A. ; Uluc, N. ; Glasl, S. ; Berger, C. ; Pleitez, M.A. ; Ntziachristos, V.

Differentiation of sphingomyelin and cholesterol by hyperspectral mid-infrared detection of single-bond vibrational modes in the fingerprint region.

Nat. Methods, DOI: 10.1038/s41592-026-03025-w (2026)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Lipids play a central role in a multitude of biological functions associated with cancer, obesity, diabetes, cardiovascular and neurological pathologies. However, sensing and mapping of lipid classes in living cells remains challenging. Here we introduce a label-free approach to lipid imaging, which differentiates lipid species in living cells by hyperspectral mid-infrared detection of single-bond vibrational modes within the fingerprint region. Hyperspectral fingerprint optoacoustic microscopy is shown to resolve phosphatidylcholine, sphingomyelin or cholesterol in test samples and in synthetic giant unilamellar vesicles used as models of cell membranes. Then, mapping of total cholesterol and sphingomyelin content and accumulation dynamics are demonstrated in living cells. Hyperspectral fingerprint optoacoustic microscopy demonstrates sensitivity not only in discerning lipids with substantially different chemical structures, such as cholesterol and phospholipids, but also lipids that are chemically similar, such as sphingomyelins and glycerophospholipids.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
ISSN (print) / ISBN 1548-7091
e-ISSN 1548-7105
Zeitschrift Nature Methods
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)