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Proceedings Paper

Integrated computational imaging system for enhanced polarimetric measurements
Author(s): Shahid A. Haider; Farnoud Kazemzadeh; David A. Clausi; Alexander Wong
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Paper Abstract

Polarimetry is a common technique used in chemistry for solution characterization and analysis, giving insight into the molecular structure of a solution measured through the rotation of linearly polarized light. This rotation is characterized by the Boits law. Without large optical path lengths, or high concentrations of solution, these optical rotations are typically very small, requiring elaborate and costly apparatuses. To ensure that the rotation measurements are accurate, these devices usually perform complex optical procedures or time-averaged point measurements to ensure that any intensity variation seen is a product of optical rotation and not from inherent noise sources in the system, such as sensor or shot noise. Time averaging is a lengthy process and rarely utilizes all of the information available on the sensor. To this end, we have developed a novel integrated, miniature, computational imaging system that enhances polarimetric measurements by taking advantage of the full spot size observed on an array detector. This computational imaging system is capable of using a single acquisition at unity gain to enhance the polarimetric measurements using a probabilistic framework, which accounts for inherent noise and optical characteristics in the acquisition process, to take advantage of spatial intensity relations. This approach is faster than time-averaging methods and can better account for any measurement uncertainties. In preliminary experiments, this system has produced comparably consistent measurements across multiple trials with the same chemical solution than time averaging techniques.

Paper Details

Date Published: 1 September 2015
PDF: 13 pages
Proc. SPIE 9613, Polarization Science and Remote Sensing VII, 961309 (1 September 2015); doi: 10.1117/12.2188276
Show Author Affiliations
Shahid A. Haider, Univ. of Waterloo (Canada)
Farnoud Kazemzadeh, Univ. of Waterloo (Canada)
David A. Clausi, Univ. of Waterloo (Canada)
Alexander Wong, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 9613:
Polarization Science and Remote Sensing VII
Joseph A. Shaw; Daniel A. LeMaster, Editor(s)

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