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Spatial encoded polarization dependent nonlinear optical analysis for local tensors imaging of collagenous tissue
Author(s): Changqin Ding; James R. W. Ulcickas; Fengyuan Deng; Garth J. Simpson
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Paper Abstract

Rapid local hyperpolarizability tensor imaging of collagenous tissue was achieved with spatially encoded polarization dependent nonlinear optical measurements. Second harmonic generation (SHG) is sensitive to polarization-dependent measurements due to its unique symmetry requirement, providing rich information of local structures for protein crystals and biological tissues. Fast polarization-dependent measurements reduce 1/f noise and suppress motion blur for in vivo imaging. In this work, spatially encoded polarization dependent SHG was used for local hyperpolarizability tensor imaging of z-cut quartz and collagenous tissue by using a single patterned microretarder array (μRA). The μRA was designed with a pattern of half-wave retardance varying spatially in the azimuthal orientation of the fast-axis. When placed in the rear conjugate plane of a beam scanning microscope, the μRA enabled spatial modulation of incident light with polarization states varied at different positions in the field of view. The ‘snapshot’ approach was available for the polarization dependent measurements of a uniform sample so that one image included a complete set of polarization modulation from different pixels. Combining with sample translation, this method was able to recover local hyperpolarizability tensor of non-uniform samples. This strategy was successfully used to extract local nonlinear optical tensors for z-cut quartz and collagenous tissue with good agreements with traditional polarization dependent measurements, providing an alternate approach for fast polarization analysis of collagen tissue with minimal modifications on current beam scanning nonlinear optical systems.

Paper Details

Date Published: 21 February 2019
PDF: 7 pages
Proc. SPIE 10883, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI, 108831E (21 February 2019); doi: 10.1117/12.2510049
Show Author Affiliations
Changqin Ding, Purdue Univ. (United States)
James R. W. Ulcickas, Purdue Univ. (United States)
Fengyuan Deng, Purdue Univ. (United States)
Boston Univ. (United States)
Garth J. Simpson, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 10883:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI
Thomas G. Brown; Tony Wilson, Editor(s)

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