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.

Image computing for fibre-bundle endomicroscopy: A review

“…Yet, due to the trade-off between cross coupling and core density, cross coupling can be suppressed yet not eliminated through optimal fibre design. In a recent study, (Perperidis et al, 2017a),…”

“…(d) Intensity profile across the five cores highlighted in (c) illustrating the variations of coupling efficiency amongst different neighbouring cores. (e) Example inter-core coupling spread at 520nm, as measured by (Perperidis et al, 2017b). (f) Example raw widefield endomicroscopy image of auto-fluorescent alveoli structures from an ex-vivo, human lung.…”

“…The imaged structured is heavily corrupted by the intrinsic characteristics of the imaging fibre bundle, highlighting the need for effective image reconstruction approaches. Images (a-b), (c) and (e) have been reproduced (cropped) from Figures 6, 7 and 8 respectively of "Characterization and modelling of inter-core coupling in coherent fiber bundles" by (Perperidis et al, 2017b) under CC BY 4.0.…”

“…neighbouring core correlation to recursively (online) derive gain and offset coefficients in each core. Multi-colour extension of (LeGoualher et al, 2004a) dealing with geometric and chromatic distortions.Cross coupling(Perperidis et al, 2017a) Quantifying (and integrating into a linear model) cross coupling within fibre bundles.Effective in supressing the effect of cross coupling.Computationally costly for real-time scenarios. (Karam Eldaly et al, 2017) Deconvolution and image reconstruction, reducing the effect of inter-core coupling.…”

Patch-Based Sparse Representation For Bacterial Detection

“…In this work, we investigate the performance of an unsupervised approach for bacterial detection in datasets of optical endomicroscopy (OEM) lung images [15][16][17][18][19][20][21]. The main contributions of this work are threefold.…”