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Updated: Apr 15, 2026

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
Published on: July 6, 2019
Sphingomyelin distribution in lipid rafts of artificial monolayer membranes visualized by Raman microscopy
Jun Ando1, Masanao Kinoshita2, Jin Cui3
1Sodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Core Research for Evolutionary Science and Technology (CREST), JST, Saitama 351-0198, Japan; Department of Applied Physics, Osaka University, Osaka 565-0871, Japan; Synthetic Organic Chemistry Laboratory, RIKEN, Saitama 351-0198, Japan; and.
Abstract:
Sphingomyelin (SM) and cholesterol (chol)-rich domains in cell membranes, called lipid rafts, are thought to have important biological functions related to membrane signaling and protein trafficking. To visualize the distribution of SM in lipid rafts by means of Raman microscopy, we designed and synthesized an SM analog tagged with a Raman-active diyne moiety (diyne-SM). Diyne-SM showed a strong peak in a Raman silent region that is free of interference from intrinsic vibrational modes of lipids and did not appear to alter the properties of SM-containing monolayers. Therefore, we used Raman microscopy to directly visualize the distribution of diyne-SM in raft-mimicking domains formed in SM/dioleoylphosphatidylcholine/chol ternary monolayers. Raman images visualized a heterogeneous distribution of diyne-SM, which showed marked variation, even within a single ordered domain. Specifically, diyne-SM was enriched in the central area of raft domains compared with the peripheral area. These results seem incompatible with the generally accepted raft model, in which the raft and nonraft phases show a clear biphasic separation. One of the possible reasons is that gradual changes of SM concentration occur between SM-rich and -poor regions to minimize hydrophobic mismatch. We believe that our technique of hyperspectral Raman imaging of a single lipid monolayer opens the door to quantitative analysis of lipid membranes by providing both chemical information and spatial distribution with high (diffraction-limited) spatial resolution.
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