Picosecond spectral coherent anti-Stokes Raman scattering imaging with principal component analysis of meibomian glands

The lipid distribution in the mouse meibomian gland was examined with picosecond spectral anti-Stokes Raman scattering (CARS) imaging. Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH stretching vib...

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Veröffentlicht in:Journal of Biomedical Optics 2011-02, Vol.16 (2), p.021104-021104
Hauptverfasser: Lin, Chia-Yu, Potma, Eric O, Suhalim, Jeffrey L, Nien, Chyong Ly, Jester, James V, Miljkovic, Milo D, Diem, Max
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container_issue 2
container_start_page 021104
container_title Journal of Biomedical Optics
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creator Lin, Chia-Yu
Potma, Eric O
Suhalim, Jeffrey L
Nien, Chyong Ly
Jester, James V
Miljkovic, Milo D
Diem, Max
description The lipid distribution in the mouse meibomian gland was examined with picosecond spectral anti-Stokes Raman scattering (CARS) imaging. Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH stretching vibrational range. Spectral differences between the location specific CARS spectra obtained in the lipid-rich regions of the acinus and the central duct were observed, which were confirmed with a Raman microspectroscopic analysis, and attributed to meibum lipid modifications within the gland. A principal component analysis of the spectral data set reveals changes in the CARS spectrum when transitioning from the acini to the central duct. These results demonstrate the utility of picosecond spectral CARS imaging combined with multivariate analysis for assessing differences in the distribution and composition of lipids in tissues.
doi_str_mv 10.1117/1.3533716
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Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH stretching vibrational range. Spectral differences between the location specific CARS spectra obtained in the lipid-rich regions of the acinus and the central duct were observed, which were confirmed with a Raman microspectroscopic analysis, and attributed to meibum lipid modifications within the gland. A principal component analysis of the spectral data set reveals changes in the CARS spectrum when transitioning from the acini to the central duct. 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Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH stretching vibrational range. Spectral differences between the location specific CARS spectra obtained in the lipid-rich regions of the acinus and the central duct were observed, which were confirmed with a Raman microspectroscopic analysis, and attributed to meibum lipid modifications within the gland. A principal component analysis of the spectral data set reveals changes in the CARS spectrum when transitioning from the acini to the central duct. These results demonstrate the utility of picosecond spectral CARS imaging combined with multivariate analysis for assessing differences in the distribution and composition of lipids in tissues.</description><subject>Animals</subject><subject>Cars</subject><subject>Ducts</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Lipids</subject><subject>Meibomian Glands - cytology</subject><subject>Mice</subject><subject>Microscopy - methods</subject><subject>Principal Component Analysis</subject><subject>Raman scattering</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Special Section on Coherent Raman Imaging Techniques and Biomedical Applications</subject><subject>Spectra</subject><subject>Spectrum Analysis, Raman - methods</subject><subject>Tomography, Optical Coherence - methods</subject><subject>Utilities</subject><issn>1083-3668</issn><issn>1560-2281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1v1DAQhi0EoqVw4A8g34BDisdOHPuCBBXlQ5W24uNszXonu4YkDrGXqv8eb3dZwYWLx_I88_odvYw9BXEOAO0rOFeNUi3oe-wUGi0qKQ3cL3dhVKW0NifsUUrfhRBGW_2QnUhQGrRuT9nNdfAxkY_jiqeJfJ6x5z5uaKYxcxxzqL7k-IMS_4wDjjx5zJnmMK55GHC9qzchb_hUnnyY7oaHKY77aexvU0g8dnygsIxDKArrHsdVeswedNgnenKoZ-zb5buvFx-qq8X7jxdvripfNyJXS2W1ka21ClTTkW9q30mjhQUkQqSutmAQwUu7MpK0apdCyFoilkmjQZ2x13vdabscaOWLr7KhK3YHnG9dxOD-7Yxh49bxl1OiNqa1ReD5QWCOP7eUshtC8tSXLShukyufSCGtFoV88V8SdAu1AGV2rl7uUT_HlGbqjoZAuF2kDtwh0sI--3uDI_knwwLIPZCmQMf2p7eL68tFiVyA3p2iuAQQ9d0d1G9TVKv6</recordid><startdate>20110201</startdate><enddate>20110201</enddate><creator>Lin, Chia-Yu</creator><creator>Potma, Eric O</creator><creator>Suhalim, Jeffrey L</creator><creator>Nien, Chyong Ly</creator><creator>Jester, James V</creator><creator>Miljkovic, Milo D</creator><creator>Diem, Max</creator><general>Society of Photo-Optical Instrumentation Engineers (SPIE)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20110201</creationdate><title>Picosecond spectral coherent anti-Stokes Raman scattering imaging with principal component analysis of meibomian glands</title><author>Lin, Chia-Yu ; 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subjects Animals
Cars
Ducts
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging
Lipids
Meibomian Glands - cytology
Mice
Microscopy - methods
Principal Component Analysis
Raman scattering
Reproducibility of Results
Sensitivity and Specificity
Special Section on Coherent Raman Imaging Techniques and Biomedical Applications
Spectra
Spectrum Analysis, Raman - methods
Tomography, Optical Coherence - methods
Utilities
title Picosecond spectral coherent anti-Stokes Raman scattering imaging with principal component analysis of meibomian glands
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