• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.5
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• pp.1141-1146
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• 2003

In order to investigate different and original theories on pathology of eyes from the past main etiology of fire and heat, two texts of Si-sheng-xin-yuan written by Huang Yuan Yu and Eui-gam-jung-ma written by Lee Gyu Jun are selected and analysed in terms of pathology and prescription. Huang explained that diseases of the eyes are usually born of functional disorders of spleen and stomach(脾胃升降失調) accompanied with turbidity change of energy and blood(氣血淸濁變化). In the meantime, Lee described that the diseases are made from disorders of activities of essence, spirit, energy and blood stored in 5 viscera. So following them, the main point of treatment for the diseases of eyes is to restore and clarify the stagnated gastrointestinal(GI) function, or to supply the clear essence and blood to eyes respectively. Also they have same opinions that the fire and heat are the secondary symptoms of the optical diseases. Therefore Huang focused on cleaning the phlegm and leaking the moisture of GI tract to treat those symptoms, and Lee emphasized on nourishing essential energy of kidney and liver on the other hand. Although they preferred to use radical therapy than symptomatic one. But it can be deduced that Huang's theory is more positive and direct therapy and Lee's one is more basic but indirect treatment.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.201-209
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• 2014

Obstructive sleep apnea syndrome(OSAS) is a respiratory disease caused by partial or complete obstruction of the upper airway during sleep. In this paper, we proposed the optical flow method to analyze the upper airway dynamic changes during respiration for children with OSAS and control subjects. We compared the absolute value of difference between inspiration and expiration for airway area analysis method and optical flow method for 5 children with OSAS and 6 control subjects. From the statistical analysis, airway area analysis method and optical flow method are statistically significant at the 0.1 (p value is 0.0977) and 0.01 (p value is 0.0011) significance level respectively. From this simulations, the optical flow method could provide more accurate information to diagnose the OSAS patients than the traditional airway area analysis method.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.50 no.5
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• pp.547-552
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• 2017

The viral hemorrhagic septicemia virus (VHSV) has an extensive host range, and infects farmed and wild fish inhabiting both freshwater and marine ecosystems. Enzyme-linked immunosorbent assay (ELISA) is highly useful in diagnosing viral hemorrhagic septicemia. However, ELISA shows high, non-specific background reaction with fish antibodies. In this study, we optimized the antigen and antibody concentrations used for detecting specific antibodies in VHSV-infected olive flounder to reduce non-specific binding, and improve the sensitivity of ELISA. The results suggested that OD (optical Density) values were valid when ELISA was performed with $0.1{\mu}g/well$ of virus, involving blocking with blocking buffer (Roth, Roti-Block), 1:300-1:600 dilution with flounder antisera, and 1:1000 dilution with anti-flounder IgM and HRP-conjugated goat anti-mouse IgG for detecting the VHSV antibody in flounder sera. Furthermore, 11 different VHSV strains isolated in Korea from 2012 to 2016 were used to infect the fish. The results showed no correlation between viral pathogenicity and antibody production. This research is a basic study on the application of antibody detection in the diagnosis of viral hemorrhagic septicemia in the olive flounder.

• Journal of the Optical Society of Korea
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• v.20 no.5
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• pp.607-613
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• 2016

The pleura is known as an end target organ of exposure to toxic environmental materials such as fine particulate matter and asbestos. Moreover, long-term exposure to hazardous materials can eventually lead to fatal lung disease such as diffuse pleural fibrosis or mesothelioma. Chest computed tomography (CT) and ultrasound are gold standard imaging modalities for detection of advanced pleural disease. However, a diagnostic tool for early detection of pleural reaction has not been developed yet due to difficulties in imaging ultra-fine structure of the pleura. Optical coherence tomography (OCT), which provides cross-sectional images of micro tissue structures at a resolution of 2-10 μm, can image the mesothelium with a thickness of ~100 μm and therefore enables investigation of the early pleural reaction. In this study, we induced the early pleural reaction according to a time sequence after pleurodesis using talc, which has been widely used in the clinical field. The pleural reaction in talc grouped according to the time sequence (1st, 2nd, 4th weeks) showed a significant thickening (average thickness: 45 ± 7.5 μm, 80 ± 10.7 μm, 90 ± 12.5 μm), while the pleural reaction in sham and normal groups showed pleural change from normal to minimal thickening (average thickness: 16 ± 5.5 μm, 17 ± 4.5 μm, 15 ± 6.5 μm, and 12 ± 7.5 μm, 13 ± 2.5 μm, 12 ± 3.5 μm). The measurement of pleural reaction by pathologic examinations was well-matched with the measurement by OCT images. This is the first study for measuring the thickness of pleural reactions using a biophotonic modality such as OCT. Our results showed that OCT can be useful for evaluating the early pleural reaction.

• Journal of Forest and Environmental Science
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• v.40 no.1
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• pp.1-8
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• 2024

Recently, intensive research has been conducted to develop innovative methods for diagnosing plant diseases based on hyperspectral technologies. Hyperspectral analysis is a new subject that combines optical spectroscopy and image analysis methods, which makes it possible to simultaneously evaluate both physiological and morphological parameters. Among the physiological and morphological parameters are classifying healthy and diseased plants, assessing the severity of the disease, differentiating the types of pathogens, and identifying the symptoms of biotic stresses at early stages, including during the incubation period, when the symptoms are not visible to the human eye. Plant diseases cause significant economic losses in agriculture around the world as the symptoms of diseases usually appear when the plants are infected severely. Early detection, quantification, and identification of plant diseases are crucial for the targeted application of plant protection measures in crop production. Hence, this can be done by possible applications of hyperspectral sensors and platforms on different scales for disease diagnosis. Further, the main areas of application of hyperspectral sensors in the diagnosis of plant diseases are considered, such as detection, differentiation, and identification of diseases, estimation of disease severity, and phenotyping of disease resistance of genotypes. This review provides a deeper understanding, of basic principles and implementation of hyperspectral sensors that can measure pathogen-induced changes in plant physiology. Hence, it brings together critically assessed reports and evaluations of researchers who have adopted the use of this application. This review concluded with an overview that hyperspectral sensors, as a non-invasive system of measurement can be adopted in early detection, identification, and possible solutions to farmers as it would empower prior intervention to help moderate against decrease in yield and/or total crop loss.

• Journal of Biosystems Engineering
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• v.26 no.2
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• pp.169-176
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• 2001

Defect of apple was depreciated the product value and causes storage disease seriously. To detect the defect of ‘Fuji’apple with machine vision system, the optical characteristics of defect should be investigated. In this research, absorbance spectra of defect were acquired by spectrophotometer in the range of visible and NIR region(400∼1,100nm) and L*a*b* color values were also acquired by colorimeter. NIR machine vision system was constructed with B&W camera, frame grabber, 16 tungsten-halogen lamps, variable focal length lens and NIR bandpass filter which was mounted to lens outward. Average gray values of defect at 15 NIR wavelength were acquired and the significant NIR wavelength was selected by comparing Mahalanobis distance between sound and defective apple. As the result of Mahalanobis distance analysis, the significant wavelength to discriminate the defectives in ‘Fuji’apple were found to be 720nm for scab and 970nm for bruise and cuts and 920nm was also effective regardless of defective types.

• Journal of the Optical Society of Korea
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• v.9 no.4
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• pp.157-161
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• 2005

Medical infrared imaging is obtained by measuring the self-emitted infrared radiance from the human body. Infrared emission is related to surface temperature and temperature is one of the most important physiological parameters related to health. Though recent applications such as security identification and oriental medicine have provided new fields of biomedical applications, infrared thermography has had ups and downs in its usages in cancer detection. Some of the main difficulties include finding proper applications and efficient diagnostic algorithms. In this study, infrared thermal imaging was used to detect regional metastasis of breast cancer. Our measurements were done for 110 women. From 63 individuals of a Healthy Group and a Benign Breast Disease Group, we developed algorithms for differentiating malignant regional metastasis based on temperature difference and asymmetry of temperature distribution. Testing with 47 cancer patients, we achieved a positive predictive value of $87.5\%$ and a negative predictive value of $95.6\%$. The results were better than for mammogram examination. A proper analysis of infrared imaging proved to be a highly informative and sensitive method for differentiating regional cancer metastasis from normal regions.

• Applied Chemistry for Engineering
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• v.32 no.3
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• pp.253-259
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• 2021

Colorectal cancer (CRC) is one of the most prevalent diseases in modern society, constituting a serious threat to global health. Currently, routine clinical screening and early removal of precancerous polyps are the most successful methods for reducing CRC incidence and mortality. However, the high cost and invasive detection of sigmoidoscopy and colonoscopy limited the CRC-screening participation and prevention. The emergence of biosensors provides an inexpensive, sensitive, less invasive tool for detecting CRC disease biomarkers. This review highlights some of recent efforts made on developing biosensors with electrochemical and optical techniques targeting CRC specific protein biomarkers for early diagnosis and prognosis, potential applications, and future perspectives.

• Journal of Dairy Science and Biotechnology
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• v.31 no.2
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• pp.165-170
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• 2013

Milk and dairy products are not only excellent foods for humans, providing plentiful varied nutrients, but are also a good medium for detrimental food-borne pathogens. Although the food safety field has stabilized due to standardization of food processing, such as the hazard analysis critical control point (HACCP), outbreaks and cases caused by food-borne pathogens still occur at high rates. In approximately 30% of cases, the disease-causing pathogenic organism is undetermined. Recently, a biosensor was developed that has a simple and fast response and overcomes the problems of conventional methods such as cultivation, immuno-assay, polymerase chain reaction, and microarray. Due to the high selectivity and sensitivity of optical biosensors, it is a suitable method for the immediate detection of food-borne pathogens in milk and dairy products.

• Journal of Sensor Science and Technology
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• v.22 no.4
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• pp.262-267
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• 2013

We developed a real-time screening system using optical coherence tomography (OCT) to distinguish the fruitful melon seeds efficiently. Cross-section images of melon seeds infected with Cucumber green mottle mosaic virus (CGMMV) showed an additional layer that did not appear in normal seeds. Additional layer appeared under $100{\sim}300{\mu}m$ from the surface of the seed. OCT can visualize the micro-structural and morphological changes of the internal seed structure. Real-time OCT seed screening system provided the real-time, non-destructive, cross-section image and quantitative information such as A-scan analysis of selected region in the cross-section image. We can distinguish the viral infection seeds while monitoring the averaged A-scan analysis graph in real-time by considering the second peak value of the graph which refers to the layer that occurred owing to the virus. Real-time OCT seed screening system could assist to distinguish the disease caused by CGMMV.