Fiber-bundle-basis sparse reconstruction for high resolution wide-field microendoscopy

Mekhail, Simon Peter; Abudukeyoumu, Nilupaer; Ward, Jonathan; Arbuthnott, G.W.; Chormaic, Síle Nic

doi:10.1364/boe.9.001843

Cited by 15 publications

(4 citation statements)

References 27 publications

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“…Endoscopy probes come in different sizes and imaging quality. From several millimetres in diameter (GRIN lenses) [2], over fibre bundles [3] to multimode optical fibres (MMF) [4]. Especially the latter are of increasing popularity for their narrow footprint and flexibility.…”

Section: Endoscopy Imagingmentioning

confidence: 99%

Multimode fibre probe calibration

et al. 2020

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Multimode fibres (MMF) used in endoscopy have advantage of small diameter and flexibility, thus causing less damage to living animals. However, the imaging requires wavefront shaping techniques to obtain a sharp image despite the mode dispersion in the waveguide. We suggest version of transmission matrix calibration which uses internal modes of the waveguide and, thus, lessens requirements on the endoscopy apparatus removing the external reference path.

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Section: Endoscopy Imagingmentioning

confidence: 99%

Multimode fibre probe calibration

et al. 2020

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“…The idea could be applied to compensate for data lost in wireless transmission [72], or reduce the number of required sensors for event classification in a system [73]. There have also been applications to the low spatial resolution of fiber endoscopes [74], the development of low-cost infrared cameras since high resolution in that range is expensive [75], reducing the readout requirements of imaging in visible and infrared [76] and the encryption of audio signals [77]. The measurement matrix involved in the algorithm can be produced in a variety of ways [78].…”

Section: B High-resolution Full Field Techniquesmentioning

confidence: 99%

Micro Reactor Instrumentation and Control FY2019 Report

Mascareñas

Meyerhofer

Ezell

et al. 2019

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Micro-reactors (i.e., very small transportable or mobile nuclear reactors with a capacity less than 20 MWt) are being developed to supply heat and power for various applications in remote areas, military installations, emergency operations, humanitarian missions, and disaster relief zones. A wide variety of reactor types are under consideration, including sodium-cooled fast reactors, molten salt reactors, light water reactors, very-high-temperature gas reactors, and heat pipe reactors. These miniaturized transportable reactor designs remain largely untested and unproven. System and component testing are needed to demonstrate design safety and system robustness, reliability and efficiency. 2. Concept of Operations for Instrumentation for the non-nuclear micro-reactor test bed.

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“…However, the fiber structure leads to honeycomb artifacts, which limit spatial resolution to the core-to-core spacing. Many approaches were proposed to enhance the resolution of fiber endoscopy, including physical methods, 25 – 28 computational methods, 29 – 33 and deep neural networks (DNNs). 34 – 40 DNNs are advantageous because of their real-time capability, and no sophisticated optical systems are required.…”

Section: Introductionmentioning

confidence: 99%

Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis

Wang,

Dremel,

Richter

et al. 2024

Neurophoton.

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. Significance Deep learning enables label-free all-optical biopsies and automated tissue classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and speed up treatment without harmful tissue removal. However, conventional multi-core fiber (MCF) endoscopes suffer from low resolution and artifacts, which hinder tumor diagnostics. Aim We introduce a method to enable unpixelated, high-resolution tumor imaging through a given MCF with a diameter of around 0.65 mm and arbitrary core arrangement and inhomogeneous transmissivity. Approach Image reconstruction is based on deep learning and the digital twin concept of the single-reference-based simulation with inhomogeneous optical properties of MCF and transfer learning on a small experimental dataset of biological tissue. The reference provided physical information about the MCF during the training processes. Results For the simulated data, hallucination caused by the MCF inhomogeneity was eliminated, and the averaged peak signal-to-noise ratio and structural similarity were increased from 11.2 dB and 0.20 to 23.4 dB and 0.74, respectively. By transfer learning, the metrics of independent test images experimentally acquired on glioblastoma tissue ex vivo can reach up to 31.6 dB and 0.97 with 14 fps computing speed. Conclusions With the proposed approach, a single reference image was required in the pre-training stage and laborious acquisition of training data was bypassed. Validation on glioblastoma cryosections with transfer learning on only 50 image pairs showed the capability for high-resolution deep tissue retrieval and high clinical feasibility.

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Fiber-bundle-basis sparse reconstruction for high resolution wide-field microendoscopy

Cited by 15 publications

References 27 publications

Multimode fibre probe calibration

Multimode fibre probe calibration

Micro Reactor Instrumentation and Control FY2019 Report

Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis

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