Abstract

Angle-resolved low coherence interferometry (a/LCI) is an approach for assessing tissue structure based on light scattering data. Recent advances in a/LCI have extended the analysis to study scattering distributions in two dimensions. In order to provide suitable scattering phantoms for 2D a/LCI, we have developed phantoms based on soft lithography which can provide a range of structures including long range order. Here we characterize these phantoms and demonstrate their utility for providing standardized multi-scale structural information for light scattering measurements.

Highlights

  • Angle-resolved low-coherence interferometry (a/LCI) is a light scattering technique that combines angle-resolved measurements with the depth resolution achieved by using a broadband source in an interferometry scheme

  • In order to provide suitable scattering phantoms for 2D Angle-resolved low coherence interferometry (a/LCI), we have developed phantoms based on soft lithography which can provide a range of structures including long range order

  • This may be due to the use of the same dimension for scatterer diameter and spacing, i.e. the edge to edge distance is the same as the scatterer diameter which may have caused aliasing in the FT

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Summary

Introduction

Angle-resolved low-coherence interferometry (a/LCI) is a light scattering technique that combines angle-resolved measurements with the depth resolution achieved by using a broadband source in an interferometry scheme. A/LCI has demonstrated the ability to accurately determine the average size and refractive index of biological scatterers, such as the nuclei of epithelial cells [1]. Further development of a/LCI has led to a fiber optic implementation that is compatible with the standard accessory channel of most endoscopes [2]. This system has been applied to detect pre-cancerous cells in epithelial tissues [3, 4]. Recent application in a clinical study of Barrett’s esophagus patients has shown that it can distinguish between normal and dysplastic tissues in vivo with high sensitivity and specificity [5]

Methods
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