Session Index

Diabetes is a chronic metabolic disease that can lead to hypertension, cardiovascular
complications, strokes, and mortality if blood glucose remains uncontrolled. Monitoring blood
glucose trends enables physicians to tailor treatment strategies. However, current invasive
testing methods, such as blood tests are inconvenient, which hinders regular screening. To tackle
this issue, we developed a non-invasive diffuse reflectance optical system incorporating a
machine learning algorithm. This system computes skin tissue's optical properties and
establishes a correlation between glucose variations during the oral glucose tolerance test and
changes in scattering coefficients. This non-invasive approach aims to enhance awareness and
management of diabetes-related risks.

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We have developed a multifunctional catheter-based OCT system, which provides architecture and birefringence information of biological tissue and allows volumetric imaging of the luminal part of the cervix. Preliminary imaging results of the in vivo human buccal mucosa and tongue were shown to validate the capabilities of volumetric imaging in the developed multifunctional OCT system, and further obtained the birefringence information by analyzing the polarization information of the OCT signal to implement the multifunctional OCT imaging.

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This study aims to develop a non-invasive and handheld optical system for accurate measurement of hemoglobin concentration, with potential applications in diagnosing and monitoring various diseases, such as anemia. We utilized DRS for non-invasive hemoglobin measurement with an optical system featuring six LED wavelengths and photodetector (PD) modules, achieving precise hemoglobin monitoring. In 10 participants, our optical system data correlated strongly (r=0.85187) with data from invasive devices. Our system shows promise for clinical diagnosis and health monitoring, with potential for measuring other physiological parameters in the future.

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Mid-infrared (MIR) spectrometer is an extremely and fundamentally important scientific instrument that can provide critical information on material composition and properties by analyzing the energy absorption properties of molecules at specific wavelengths and has been widely used in many applications. In this study, we demonstrate a miniaturized, low-cost, and portable mid-infrared optical spectrometer for different carbon dioxide gases detection. Based on the results, this spectrometer will have many applications in the future.

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By capitalizing on label-free imaging, high-resolution capabilities, and the simultaneous visualization of tissue structures and chemical properties offered by nonlinear optical (NLO) microscopy, we can potentially attain accuracy levels akin to those of traditional histopathology in the study of human esophageal cancer specimens. Moreover, the outcomes derived from this approach serve as invaluable training data for the machine learning (ML) algorithm. This combined study empowers us to achieve rapid and accurate cancer detection, which facilitates the translation of NLO microscopy into clinical contexts, thus broadening its utility spectrum from fundamental biomedical research to AI-assisted pathology.

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In the current assessment of skin disorders, optical coherence tomography (OCT) is commonly employed as a frontline diagnostic tool. This study focuses on the analysis of skin images obtained from a lightweight handheld OCT device, aiming for automated analysis. Segmentation algorithms are applied to enhance accuracy and processing speed. Additionally, data augmentation and increased dataset size are explored to improve model training accuracy.

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The COVD-19 epidemic has brought huge disasters to the world since 2020 including millions of deaths, and the economies of many countries have also been severely hit. Therefore, the development of drugs that can inhibit COVD-19 has become a topic of worldwide concern. In this experiment, we used the principle of SPR to determine the inhibitory effect of different potential drugs on the binding of SARS-Cov-19 omicron Spike S1 protein and human ACE2 receptors. This time we chose Antcin K. To observe whether it can inhibit the combination between the S-1 protein and ACE2 protein.

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The study aims to create an optical reflective device to simultaneously measure arterial oxygen saturation and hemoglobin concentration. We validated its capability to detect real-time blood oxygen changes during breath-holding experiments. Using finger prick tests as a reference, we achieved correlation coefficients of 0.923 and 0.961 for hemoglobin concentration measured on the forehead and wrist, respectively. Our findings confirm the system's accurate in-vivo hemoglobin concentration calculation.

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