Session Index

Electric field Monte Carlo method can be used to include the phase and polarization state of complex light in turbid media. In this paper, based on EMC framework we investigate the depolarization dependency of special beams over the penetration depth and the scattering properties in turbid medium for biomedical applications.

 

Blood-related diseases can cause red blood cell abnormal morphology and deformability. The high-throughput label-free digital holographic microscopy (DHM) with the refocusing feature, can be used to record cells’ three-dimensional refractive index (RI) distribution and viscoelastic. Via simulation, the relation between Zernike fitting and phase image has been discovered and implemented.

 

The mammalian cochlear is a complex anatomy related to the hearing function and especially its spiral structure and hair cell in the inner ear. In this study, we quantified the mouse cochlear’s optical properties through the spectroscopic comparison, two different center wavelength home-build swept-source optical coherence tomography were using.

 

Laser material processing at micrometer resolution includes optical ablation with high laser pulse energy and laser-induced material modification. According to the material optical properties, the multiphoton-excited fluorescence microscopy (MPEFM) could perform noninvasive inspection by reconstructing the 3D fluorescence images that could directly see the processed morphology in specimen

 

Graphene was shown to be a useful additive material to SERS substrate in DNA detection thanks to its ability to significantly enhance the DNA signal, while the sample preparation is very fast and simple. Therefore, the addition of graphene could offer a new DNA detection method using nano-sized cells.

 

In this study, we proposed to use optical coherence tomography (OCT) to investigate the skin tumor. Then, U-net model is implemented for automatic identification of tumor region. From our results, the proposed method enables to effectively distinguish different tissue components of skin and the tumor region can be accurately distinguished.

 

In this study, a novel compact liquid assay detection platform based on gradient grating period guided-mode resonance (GGP-GMR) atop of a CCD is demonstrated. The system successfully detect the intensity and peak wavelength variation at different concentration for two commonly used fluorescent dyes (6-FAM and 5-TAMRA) in DNA detections.

 

We demonstrate a portable and multichannel SPR biosensor based on hand-held platforms. We design a disposable chip that includes microfluidic and micro-optical system. The overall size of the portable system is only 15cm× 20cm×10cm. This cost-effective and sensitivity SPR biosensor system for medical diagnostics, environmental monitoring, and food safety applications.

 

In this study, the non-invasive evaluation of reflective heart rate monitoring (HRM) is performed. The optical simulation is used to evaluate the capability of a reflective HRM with human skin. Thus, the choice LED and photodiode (PD)、baffle plate, the distances between the components are important for HRM design.

 

The GaN structures with and without InGaN QWs were fabricated by the MOCVD to serve as a SERS substrate. The Raman enhancement of the single-strand Cytosine DNA on theses substrates showed the effect of InGaN QWs in SERS, which can be understood by the 1D-DDCC software built-energy band diagram.

 

We’ve reached a significant breakthrough in Fabry-Pérot spectrometer, as the spectrum must be measured less than the limit of a free spectral range and constructed a new form of spectrometer: Experimentally, we achieved the scanning performance of the FP spectrometer by the change of the refractive index through driving voltage.

 

In this study, a novel gradient grating period guided-mode resonance (GGP-GMR) biosensor is proposed, and albumin was successfully detected as a test model. The simple design and easy fabrication of the GGP-GMR sensor combined with its simple readout and optical path design facilitates system miniaturization.

 

To reveal the changes of spruce due to chemical treatment and aging, a two-photon hyperspectral system has been applied to investigate the autofluorescence and second harmonic generation within wood. The cellular structures were observed through optical sectioning and the spectral variations were revealed among different samples and different cellular structures.

 

We demonstrated a miniaturized sensor to detect the urinary urea concentration in cats. The sensor composed by pH indicator doped hydrogel and a Y-shape fiber that delivered and collected signals. A linear calibration curve was successfully built to read the urea concentration in urine solution obtained from cat litter.

 

An exploratory dermatology clinical trial was conducted using cellular-resolution optical coherence tomography (OCT). The nuclei in skin OCT images were segmented by the convolutional neural network. After segmentation, the achieved Dice coefficient was 0.58±0.02. The depth-dependent nuclei ellipticity can be readily obtained from the in vivo measurement.

 

Quantitative differential phase contrast (qDPC) is a label-free imaging technique for resolving the phase information of the thin transparent object. To improve qDPC system for monitoring rapid changes in the sample. We adapt deep neural networks (DNN) to achieve isotropic differential phase contrast (iDPC) imaging and reduce the acquisition time.

 

Sleep disturbances accompanying Alzheimer’s disease are a serious problem. A thermal imaging camera, combined with a passive infrared motion sensor controlled by an ESP32 were used to monitor a bed, in order to provide feedback on patients' motion and bed occupancy.

 

This study aims to compare the optical clearing effects of polyethylene glycol 400, propylene glycol (PG), and glycerol with the combination of ultrasound treatment through human skin in vivo. Our results indicate that 25% PG with ultrasound treatment for total one hour provides optimum efficiency among all conditions.

 

The 3D dendritic path of corneal sub-basal nerve makes it difficult to visualize. Using the strong scattering of the Bowman’s layer as a guide, the sub-basal nerve plexus is projected on a 2D plane to extract the features. As a result, 12 parameters are defined to quantify the nerve morphology.

 

OCT was integrated with Raman spectroscopy to distinguish various cancerous and normal skin cells via machine learning. Features of OCT images were effective in differentiating the cancerous and normal cells (~80% accuracy). Using the Raman spectra, melanoma cells and keratinocyt-based cell carcinoma can be distinguished with near 100% accuracy.

 

Migraine is a common neurological disease and based on the cerebrovascular reactivity in prefrontal cortex, we used near-infrared spectroscopy (NIRS) as a biomarker during mental arithmetic. In our study, we found out significant differences between healthy controls and migraine patients, and the classification results by machine learning had 85% accuracy.