Characterization and modelling of inter-core coupling in coherent fiber bundles

Antonios Perperidis, Helen E. Parker, Ahmed Karam-Eldaly, Yoann Altmann, Kevin Dhaliwal, Robert R. Thomson, Michael George Tanner, Stephen McLaughlin

Research output: Contribution to journalArticle

Abstract

Recent developments in optical endomicroscopy (OEM) and associated fluorescent SmartProbes present a need for sensitive imaging with high detection performance. Inter-core coupling within coherent fiber bundles is a well recognized limitation, affecting the technology’s imaging capabilities. Fiber cross coupling has been studied both experimentally and within a theoretical framework (coupled mode theory), providing (i) insights on the factors affecting cross talk, and (ii) recommendations for optimal fiber bundle design. However, due to physical limitations, such as the tradeoff between cross coupling and core density, cross coupling can be suppressed yet not eliminated through optimal fiber design. This study introduces a novel approach for measuring, analyzing and quantifying cross coupling within coherent fiber bundles, in a format that can be integrated into a linear model, which in turn can enable computational compensation of the associated blurring introduced to OEM images.
Original languageEnglish
Article number11932
JournalOptics Express
Volume25
Issue number10
DOIs
Publication statusPublished - 15 May 2017

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title = "Characterization and modelling of inter-core coupling in coherent fiber bundles",
abstract = "Recent developments in optical endomicroscopy (OEM) and associated fluorescent SmartProbes present a need for sensitive imaging with high detection performance. Inter-core coupling within coherent fiber bundles is a well recognized limitation, affecting the technology’s imaging capabilities. Fiber cross coupling has been studied both experimentally and within a theoretical framework (coupled mode theory), providing (i) insights on the factors affecting cross talk, and (ii) recommendations for optimal fiber bundle design. However, due to physical limitations, such as the tradeoff between cross coupling and core density, cross coupling can be suppressed yet not eliminated through optimal fiber design. This study introduces a novel approach for measuring, analyzing and quantifying cross coupling within coherent fiber bundles, in a format that can be integrated into a linear model, which in turn can enable computational compensation of the associated blurring introduced to OEM images.",
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language = "English",
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Characterization and modelling of inter-core coupling in coherent fiber bundles. / Perperidis, Antonios; Parker, Helen E.; Karam-Eldaly, Ahmed; Altmann, Yoann; Dhaliwal, Kevin; Thomson, Robert R.; Tanner, Michael George; McLaughlin, Stephen.

In: Optics Express, Vol. 25, No. 10, 11932, 15.05.2017.

Research output: Contribution to journalArticle

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T1 - Characterization and modelling of inter-core coupling in coherent fiber bundles

AU - Perperidis, Antonios

AU - Parker, Helen E.

AU - Karam-Eldaly, Ahmed

AU - Altmann, Yoann

AU - Dhaliwal, Kevin

AU - Thomson, Robert R.

AU - Tanner, Michael George

AU - McLaughlin, Stephen

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Y1 - 2017/5/15

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AB - Recent developments in optical endomicroscopy (OEM) and associated fluorescent SmartProbes present a need for sensitive imaging with high detection performance. Inter-core coupling within coherent fiber bundles is a well recognized limitation, affecting the technology’s imaging capabilities. Fiber cross coupling has been studied both experimentally and within a theoretical framework (coupled mode theory), providing (i) insights on the factors affecting cross talk, and (ii) recommendations for optimal fiber bundle design. However, due to physical limitations, such as the tradeoff between cross coupling and core density, cross coupling can be suppressed yet not eliminated through optimal fiber design. This study introduces a novel approach for measuring, analyzing and quantifying cross coupling within coherent fiber bundles, in a format that can be integrated into a linear model, which in turn can enable computational compensation of the associated blurring introduced to OEM images.

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