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Title: Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry

Abstract

Collagen is a biological macromolecule capable of second harmonic generation, allowing label-free detection in tissues; in addition, molecular orientation can be determined from the polarization dependence of the second harmonic signal. Previously we reported that in-plane orientation of collagen fibrils could be determined by modulating the polarization angle of the laser during scanning. We have now extended this method so that out-of-plane orientation angles can be determined at the same time, allowing visualization of the 3-dimensional structure of collagenous tissues. This approach offers advantages compared with other methods for determining out-of-plane orientation. First, the orientation angles are directly calculated from the polarimetry data obtained in a single scan, while other reported methods require data from multiple scans, use of iterative optimization methods, application of fitting algorithms, or extensive post-optical processing. Second, our method does not require highly specialized instrumentation, and thus can be adapted for use in almost any nonlinear optical microscopy setup. It is suitable for both basic and clinical applications. We present three-dimensional images of structurally complex collagenous tissues that illustrate the power of such 3-dimensional analyses to reveal the architecture of biological structures.

Authors:
 [1];  [2];  [3]
  1. Univ. of California, Davis, CA (United States). School of Medicine, Department of Neurological Surgery
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Medical Technology Program; ABB Corporate Research, ABB Switzerland Ltd., Baden-Dattwil (Switzerland)
  3. Univ. of California, Davis, CA (United States). College of Engineering, Department of Electrical and Computer Engineering
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1395469
Grant/Contract Number:
AC52-07NA27344
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; Biophysics; Molecular imaging; Molecular medicine; Supramolecular assembly

Citation Formats

Reiser, Karen, Stoller, Patrick, and Knoesen, André. Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry. United States: N. p., 2017. Web. doi:10.1038/s41598-017-02326-7.
Reiser, Karen, Stoller, Patrick, & Knoesen, André. Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry. United States. doi:10.1038/s41598-017-02326-7.
Reiser, Karen, Stoller, Patrick, and Knoesen, André. 2017. "Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry". United States. doi:10.1038/s41598-017-02326-7. https://www.osti.gov/servlets/purl/1395469.
@article{osti_1395469,
title = {Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry},
author = {Reiser, Karen and Stoller, Patrick and Knoesen, André},
abstractNote = {Collagen is a biological macromolecule capable of second harmonic generation, allowing label-free detection in tissues; in addition, molecular orientation can be determined from the polarization dependence of the second harmonic signal. Previously we reported that in-plane orientation of collagen fibrils could be determined by modulating the polarization angle of the laser during scanning. We have now extended this method so that out-of-plane orientation angles can be determined at the same time, allowing visualization of the 3-dimensional structure of collagenous tissues. This approach offers advantages compared with other methods for determining out-of-plane orientation. First, the orientation angles are directly calculated from the polarimetry data obtained in a single scan, while other reported methods require data from multiple scans, use of iterative optimization methods, application of fitting algorithms, or extensive post-optical processing. Second, our method does not require highly specialized instrumentation, and thus can be adapted for use in almost any nonlinear optical microscopy setup. It is suitable for both basic and clinical applications. We present three-dimensional images of structurally complex collagenous tissues that illustrate the power of such 3-dimensional analyses to reveal the architecture of biological structures.},
doi = {10.1038/s41598-017-02326-7},
journal = {Scientific Reports},
number = 1,
volume = 7,
place = {United States},
year = 2017,
month = 6
}

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