Video-Rate Molecular Imaging In Vivo with Stimulated Raman Scattering
By B. Saar, C. Freudiger, J. Reichman, C. Stanley, G. Holtom, Xiaohui S. Xie. Science, 2010
790 citations recorded by the source corpus.
Skin-Deep Raman Spectroscopy Raman spectroscopy allows for molecular identification via vibrational spectra at optical wavelengths. However, if the optical signal is scattered, as occurs when trying to image tissue, the signal becomes very weak, and it becomes difficult to image a sample with high time resolution. Saar et al. (p. 1368) now show that by improving the optics and electronics of the acquisition of the backscattered signal, stimulated Raman scattering spectroscopy can be performed at video rates on human skin, which should enable label-free studies of tissues and, for example, the tracking of the delivery of a drug. Raman spectra can be acquired rapidly from samples that would otherwise scatter the usable signal. Optical imaging in vivo with molecular specificity is important in biomedicine because of its high spatial resolution and sensitivity compared with magnetic resonance imaging. Stimulated Raman scattering (SRS) microscopy allows highly sensitive optical imaging based on vibrational spectroscopy without adding toxic or perturbative labels. However, SRS imaging in living animals and humans has not been feasible because light cannot be collected through thick tissues, and motion-blur arises from slow imaging based on backscattered light. In this work, we enable in vivo SRS imaging by substantially enhancing the collection of the backscattered signal and increasing the imaging speed by three orders of magnitude to video rate. This approach allows label-free in vivo imaging of water, lipid, and protein in skin and mapping of penetration pathways of topically applied drugs in mice and humans.
Subfields: Analytical Chemistry, Biophysics
View Paper: https://www.semanticscholar.org/paper/1f93474996d407aa1343811eaf859f73007dd50d
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In Biophysics
Citations in the corpus
- Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine (2015, background): “Thus, the shot noise limit can be reached at a pixel dwell time of 100 ns, as demonstrated by video-rate single-frequency SRS imaging (44).”