Session Index

Since the neurological diseases are difficult to be cured with drugs. In this study,
we built a self-made neurofeedback system as a new physiotherapy and hoped to provide
effective diagnosis and treatment for Tourette syndrome children with near-infrared
spectroscopy (NIRS). The result shows that the cerebrovascular reactivity had improved.

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Extracorporeal membrane oxygenation (ECMO) is a medical emergency device combining with respiratory and circulatory support. It is used for acute and severe patients with cardiopulmonary failure. However, the use of the ECMO device requires considerable labor costs and medical resources, so it is very important for clinicians to evaluate the condition of patients and how to use it. Therefore, in this study, Near-infrared spectroscopy (NIRS) was applied to real-time monitoring of the lower limb microcirculation of patients with ECMO, which is helpful to provide clinicians with diagnostic information.

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We calculated the tissue chromophore values with our diffuse reflectance spectroscopy system to distinguish between healthy sites and gingivitis-infected sites. We found the machine learning method can effectively use for enhancing the classification of healthy and gingivitis-infected sites. As compared to the diagnostic performance of using only gingival tissue functional parameters derived from diffuse reflectance spectroscopy, we found that introducing the machine learning method can increase the accuracy, and specificity from 57.7% to 60%, and 68.6% to 81.3%, respectively, which outperformed the general dichotomy to distinguish between healthy sites and gingivitis-infected sites.

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This study proposes a course of action and method for wound sterilization using ultraviolet (UV) light, specifically with the use of UV light-emitting diodes (LEDs), and with particular emphasis on multi-stage sterilization steps and methods to avoid surface damage caused by UV irradiation. During the irradiation process, we also found some tenacious bacteria will form a bio-membrane (Biofilm) above the wound to protect themselves from being destroyed by the UV rays. Therefore, a debridement step can be included to remove biofilm to ensure the effectiveness of the bactericidal UV-LED.

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The study addresses the integration of previous in-house developed image reconstruction schemes for diffuse optical tomography. Two phantom designs were employed to verify the image reconstruction performance compared with former results.

 

This study is mainly used to detect pleural effusion through solar cell biosensor chips. It can simplify the complex techniques and reduce waiting time required for current detection, and use this element to detect the degree of carcinogenesis of lung cancer cells and analyze them.The study used a solar cell biosensor wafer and a serrated finger electrode prepared on the surface of the ITO substrate for measurement, thereby analyzing lung cancer cell types.

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This study uses retinopathy caused by diabetes to analyze the oxygen content in blood vessels. The hyperspectral imaging technology is used to establish the spectral data, and then the principal component score map of the variable veins of retinopathy is obtained through principal component analysis, and the arteries and veins are identified.

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This research mainly prepares molybdenum disulfide photochemical biosensor. We will use this sensor chip to detect and analyze the degree of canceration of lung cancer cells.In the research, molybdenum disulfide is grown on the light-absorbing layer of the silicon-based solar element, combined with the self-designed Serrated Interdigitated Elec-trode. The photoelectric flow measurement was performed on three different types of lung cancer cell clinical samples CL1 lung adenocarcinoma cell line NCI-H460 lung large cell carcinoma cell line NCI-H520 lung squamous cell carcinoma through the photo-generated charge carrier transport mechanism.


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Combining hyperspectral imaging and deep learning to detect early esophageal cancer. Using visible light hyperspectral imaging technology to give hyperspectral information. Through the algorithm, the spectrum information of esophageal cancer is distinguished, and the ability to identify the lesion is achieved without relying on image changes.

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This research has chosen to use the idea of semantic segmentation for more precise location. U-Net is used as the basic structure, and Resnet is used as the basic structure. The ability to extract feature maps to predict the classification and location of esophageal cancer.

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This study uses the combination of hyperspectral imaging technology and band selection to simulate white light endoscopy images as narrowband endoscopy images. Such images are called hyperspectral images, which will make the blood vessel characteristics in the endoscopy images more obvious.

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We demonstrate a novel proximal scanning mico-endoscope based on a rectangular fiber. In the novel mico-endoscope, a proximal scanner was used to reduce the complexity in packaging the distal end. The fiber-nonlinearity enhanced dispersion-induced pulse broadening was avoided. Finally, the wave-vectors can be continuous tuned to avoid pixelike images.

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The changes of glucose concentrations are measured in the scattering pattern in space by using a single laser. We analyze the light intensity of each spectrum and select the light intensity range related to the glucose concentration in data processing.

 

An improved system calibration method for single photon emission microscope is developed. The method combines the data from the geometric calibration and grid-scan experiment to fit the system geometric parameters. Also, the imaging model adopts non-circularly symmetric point response functions to build the system matrix essential in the tomographic reconstruction.

 

Monitoring sleep and bed occupancy are essential for eldercare. A well-placed passive infrared motion sensor PIR provides additional information that can be useful in understanding differences between the other techniques.

 

The electric field Monte Carlo method can be used to include the phase and polarization state information of complex light in turbid media. Based on the EMC framework, we investigate the propagation properties of the Bessel beam over the penetration depth in a turbid medium for biomedical applications.

 

We report on using multimodal nonlinear optical (MNLO) microscopy with the image contrast of second harmonic generation (SHG) and coherent anti-Stokes Raman scattering (CARS) to investigate the structures of bone-engineered biomaterials. By analyzing the nonlinear signals on images, it is possible to characterize and quantify the structural variations in the prepared collagen scaffolds, which are processed with different crosslinking methods. The results show that the correlation between signals and mechanical properties can be established. And the comparative analysis of these two signals can be used to monitor the structural (triple-helix) change of collagen molecules during the crosslinking processes.

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To improve work quality of indoor workers, physiological responses such as EEG and heart rate variability which were influenced by the polychromatic lighting with different compositions of blue light were analyzed in this study. In addition, the correlations between the physiological responses and characteristics of blue light are also discussed.

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In this study, we developed a simple fluorescence sensing system to rapidly measure the total carbonyl stress in urine because carbonyls may form advanced glycation end products, leading to diseases. 20 µL rat urine samples added to a carrier were derivatized with 5,6-diamino-2,4-hydroxypyrimidine sulfate dihydrate for testing, and only 1 s was required. In addition, the correlation coefficient between the total carbonyl content detected by the simple fluorescence system and HPLC reached 0.8132. Collectively, our findings demonstrated that our system can rapidly measure total carbonyl stress in urine with a small sample volume.