Jonghee Yoon
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View article: Development of a real-time fault detection method for electric power system via transformer-based deep learning model
Development of a real-time fault detection method for electric power system via transformer-based deep learning model Open
The real-time detection of power quality disturbances (PQDs) in electrical power systems (EPSs) is crucial for prompt actions to protect EPSs from cascade damages that can cause equipment failures, system downtime, and economic losses. The…
View article: Targeted multispectral filter array design for the optimization of endoscopic cancer detection in the gastrointestinal tract
Targeted multispectral filter array design for the optimization of endoscopic cancer detection in the gastrointestinal tract Open
The ability to retain good classification accuracies with a reduced number of spectral bands could enable the future deployment of multispectral imaging in an endoscopic chip-on-tip configuration using simplified MSFA hardware. Further stu…
View article: Fabrication of agar-based tissue-mimicking phantom for the technical evaluation of biomedical optical imaging systems
Fabrication of agar-based tissue-mimicking phantom for the technical evaluation of biomedical optical imaging systems Open
The development process of the optical systems for various biomedical applications typically involve evaluations of technical performance. One popular evaluation method is to use a reference object such as a phantom that exhibits similar o…
View article: Targeted Multispectral Filter Array Design for Endoscopic Cancer Detection in the Gastrointestinal Tract
Targeted Multispectral Filter Array Design for Endoscopic Cancer Detection in the Gastrointestinal Tract Open
Colour differences between healthy and diseased tissue in the gastrointestinal tract are detected visually by clinicians during white light endoscopy (WLE); however, the earliest signs of disease are often just a slightly different shade o…
View article: Hyperspectral Imaging for Clinical Applications
Hyperspectral Imaging for Clinical Applications Open
Measuring morphological and biochemical features of tissue is crucial for disease diagnosis and surgical guidance, providing clinically significant information related to pathophysiology. Hyperspectral imaging (HSI) techniques obtain both …
View article: Deep Learning-Based Method for the Robust and Efficient Fault Diagnosis in the Electric Power System
Deep Learning-Based Method for the Robust and Efficient Fault Diagnosis in the Electric Power System Open
The robust and efficient diagnosis of power quality disturbances (PQDs) in electric power systems (EPSs) is one of the most important steps to protect a power system with minimal damage. However, the conventional fault detection methods us…
View article: First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps
First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps Open
Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately,…
View article: A background correction method to compensate illumination variation in hyperspectral imaging
A background correction method to compensate illumination variation in hyperspectral imaging Open
Hyperspectral imaging (HSI) can measure both spatial (morphological) and spectral (biochemical) information from biological tissues. While HSI appears promising for biomedical applications, interpretation of hyperspectral images can be cha…
View article: A background correction method to compensate illumination variation in hyperspectral imaging.
A background correction method to compensate illumination variation in hyperspectral imaging. Open
Hyperspectral imaging (HSI) can measure both spatial (morphological) and spectral (biochemical) information from biological tissues. While HSI appears promising for biomedical applications, interpretation of hyperspectral images can be cha…
View article: Hyperspectral Colour Classification (HCC)
Hyperspectral Colour Classification (HCC) Open
Dataset utilised for the training and testing of the spectral classification system for a line-scanning hyperspectral endoscope and the associated core algorithms. See the Readme file for a detailed description.
View article: Deep learning applied to hyperspectral endoscopy for online spectral classification.
Deep learning applied to hyperspectral endoscopy for online spectral classification. Open
Hyperspectral imaging (HSI) is being explored in endoscopy as a tool to extract biochemical information that may improve contrast for early cancer detection in the gastrointestinal tract. Motion artefacts during medical endoscopy have trad…
View article: Research data supporting "A background correction method to compensate illumination variation in hyperspectral imaging"
Research data supporting "A background correction method to compensate illumination variation in hyperspectral imaging" Open
The dataset includes experimental and simulation data and the codes used in the paper "A background correction method to compensate illumination variation in hyperspectral imaging". All experimental data is captured using hyperspectral end…
View article: Characterizing Optical Fiber Transmission Matrices Using Metasurface Reflector Stacks for Lensless Imaging without Distal Access
Characterizing Optical Fiber Transmission Matrices Using Metasurface Reflector Stacks for Lensless Imaging without Distal Access Open
© 2019 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/" Creative Commons Attribution 4.0 International license. Further di…
View article: Research data supporting: Quantitative evaluation of comb-structure removal methods for multispectral fiberscopic imaging
Research data supporting: Quantitative evaluation of comb-structure removal methods for multispectral fiberscopic imaging Open
Removing the comb artifact introduced by imaging\nfiber bundles, or ‘fiberscopes’, for example in medical endoscopy,\nis essential to provide high quality images to the observer.\nMultispectral imaging (MSI) is an emerging method that comb…
View article: Bimodal reflectance and fluorescence multispectral endoscopy based on spectrally resolving detector arrays
Bimodal reflectance and fluorescence multispectral endoscopy based on spectrally resolving detector arrays Open
Emerging clinical interest in combining standard white light endoscopy with targeted near-infrared (NIR) fluorescent contrast agents for improved early cancer detection has created demand for multimodal imaging endoscopes. We used two spec…
View article: Research data supporting "A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract"
Research data supporting "A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract" Open
These are raw and processed data of simulation and experiments in the paper (A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract).
View article: White-light quantitative phase imaging unit: erratum
White-light quantitative phase imaging unit: erratum Open
We found an error in Fig. 1 of our article "White-light Quantitative Phase Imaging Unit." Here we publish the revised figure.
View article: Holographic deep learning for rapid optical screening of anthrax spores
Holographic deep learning for rapid optical screening of anthrax spores Open
A synergistic application of holography and deep learning enables rapid optical screening of anthrax spores and other pathogens.
View article: Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning
Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning Open
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discriminating lymphocyte cell types primarily rely on labelling techniques with magnetic beads or …
View article: Measurements of morphological and biophysical alterations in individual neuron cells associated with early neurotoxic effects in Parkinson's disease
Measurements of morphological and biophysical alterations in individual neuron cells associated with early neurotoxic effects in Parkinson's disease Open
Parkinson's disease (PD) is a common neurodegenerative disease. However, therapeutic methods of PD are still limited due to complex pathophysiology in PD. Here, optical measurements of individual neurons from in vitro PD model using optica…
View article: Holographic deep learning for rapid optical screening of anthrax spores
Holographic deep learning for rapid optical screening of anthrax spores Open
Establishing early warning systems for anthrax attacks is crucial in biodefense. Here we present an optical method for rapid screening of Bacillus anthracis spores through the synergistic application of holographic microscopy and deep lear…
View article: Label-free identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning
Label-free identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning Open
Identification of lymphocyte cell types is crucial for understanding their pathophysiologic roles in human diseases. Current methods for discriminating lymphocyte cell types primarily relies on labelling techniques with magnetic beads or f…