ArticleBiophysical journal2016
Imaging the Nonlinear Susceptibility Tensor of Collagen by Nonlinear Optical Stokes Ellipsometry.
Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
- Recent Progress in Optical Sensors for Biomedical Diagnostics.Micromachines · 2020Review
- Changes in the crystallographic structures of cardiac myosin filaments detected by polarization-dependent second harmonic generation microscopy.Biomedical optics express · 2019Article
- Spatially encoded polarization-dependent nonlinear optics.Optics letters · 2018Article
- Second Harmonic Generation of Unpolarized Light.Physical review letters · 2017Article
- Three-Dimensional Geometry of Collagenous Tissues by Second Harmonic Polarimetry.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Nonlinear optical Stokes ellipsometric (NOSE) microscopy was demonstrated for the analysis of collagen-rich biological tissues. NOSE is based on polarization-dependent second harmonic generation imaging. NOSE was used to access the molecular-level distribution of collagen fibril orientation relative to the local fiber axis at every position within the field of view. Fibril tilt-angle distribution was investigated by combining the NOSE measurements with ab initio calculations of the predicted molecular nonlinear optical response of a single collagen triple helix. The results were compared with results obtained previously by scanning electron microscopy, nuclear magnetic resonance imaging, and electron tomography. These results were enabled by first measuring the laboratory-frame Jones nonlinear susceptibility tensor, then extending to the local-frame tensor through pixel-by-pixel corrections based on local orientation.
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Registered trials
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