ArticleJournal of biomedical optics2011
Hyperspectral coherent anti-Stokes Raman scattering microscopy imaging through turbid medium.
Article in Journal of biomedical optics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Coherent anti-Stokes Raman scattering imaging of microcalcifications associated with breast cancer.The Analyst · 2021Article
- Higher order processes in random Raman lasing.Applied physics. A, Materials science & processing · 2014Article
- Coherent anti-Stokes Raman spectroscopy utilizing phase mismatched cascaded quadratic optical interactions in nonlinear crystals.Optics express · 2013Article
- Coherent anti-Stokes Raman scattering in silicon nanowire ensembles.Laser physics letters · 2012Article
- Chemically Specific Imaging Through Stimulated Raman Photoexcitation and Ultrasound Detection: Minireview.Australian journal of chemistry · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Coherent Raman microspectroscopy imaging is an emerging technique for noninvasive, chemically specific optical imaging, which can be potentially used to analyze the chemical composition and its distribution in biological tissues. In this report, a hierarchical cluster analysis was applied to hyperspectral coherent anti-Stokes Raman imaging of different chemical species through a turbid medium. It was demonstrated that by using readily available commercial software (Cytospec, Inc.) and cluster analysis, distinct chemical species can be imaged and identified through a rather thick layer of scattering medium. Once the clusters of different chemical composition were distinguished, a phase retrieval algorithm was used to convert coherent anti-Stokes Raman spectra to Raman spectra, which were used for chemical identification of hidden microscopic objects. In particular, applications to remote optical sensing of potential biological threats and to imaging through a layer of skin tissue were successfully demonstrated.
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Registered trials
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