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Biomedical microwave-induced thermoacoustic imaging
Journal of Innovative Optical Health Sciences, Ahead of Print. Microwave-induced thermoacoustic imaging (MTAI) has emerged as a potential biomedical imaging modality with over 20-year growth. MTAI typically employs pulsed microwave as the pumping source, and detects the microwave-induced ultrasound wave via acoustic transducers. Therefore, it features high acoustic resolution, rich electromagnetic contrast, and large imaging depth. Benefiting from these unique advantages, MTAI has been extensively applied to various fields including pathology, biology, material and medicine. Till now, MTAI has been deployed for a wide rang...
Source: Journal of Innovative Optical Health Sciences - June 8, 2022 Category: Biomedical Science Authors: Qiang Liu Xiao Liang Weizhi Qi Yubin Gong Huabei Jiang Lei Xi Source Type: research

Immune response induced by hematoporphyrin derivatives mediated photodynamic therapy: Immunogenic cell death and elevated costimulatory molecules
This study showed that CD4[math]T, CD8[math]T and the production of IFN-[math] were increased significantly on day 10 in right-tumor after PDT treatment compared with control group. HpD-PDT enhanced the expression of calreticulin (CRT) on tumor tissue. Importantly, co-stimulatory molecular OX-40 and 4-1BB were elevated on CD8[math]T cells. In vitro, immunogenic death of 4T1 cells was induced after PDT. Besides, the expression of DAMPs increased with the increasing of energy density. This study indicates that anti-tumor immune effect was induced by HpD-PDT. The knowledge of the involvement of CRT, ATP and co-stimulatory mol...
Source: Journal of Innovative Optical Health Sciences - June 4, 2022 Category: Biomedical Science Authors: Shan Long Yibing Zhao Yuanyuan Xu Hui Li Hongyou Zhao Defu Chen Jing Zeng Haixia Qiu Xiaosong Li Ying Gu Source Type: research

Supercontinuum fiber laser-based coherent anti-Stokes Raman scattering microscopy for label-free chemical imaging
Journal of Innovative Optical Health Sciences, Ahead of Print. Coherent anti-Stokes Raman scattering (CARS) microscopy can resolve the chemical components and distribution of living biological systems in a label-free manner and is favored in several disciplines. Current CARS microscopes typically use bulky, high-performance solid-state lasers, which are expensive and sensitive to environmental changes. With their relatively low cost and environmental sensitivity, supercontinuum fiber (SF) lasers with a small footprint have found increasing use in biomedical applications. Upon these features, in this paper, we homebuilt a l...
Source: Journal of Innovative Optical Health Sciences - May 11, 2022 Category: Biomedical Science Authors: Nan Wang Jiaojiao Zhang Wangting Zhou Siting Liu Jing Li Xinyi Xu Qi Zeng Yong Li Shouping Zhu Xueli Chen Source Type: research

Decoding of raman spectroscopy-encoded suspension arrays based on the detail constraint cycle domain adaptive model
In this study, we propose an improved model based on CyCADA, named as Detail constraint Cycle Domain Adaptive Model (DCDA). DCDA implements the classification of unseen datasets through domain adaptation, adapts representations at the encode level with decoder-share, and enforces coding features while leveraging a feat loss. To improve detailed structural constraints, DCDA takes downsample connection and skips connection. Our model improves the poor generalization of existing models and saves the cost of the labeling process for unseen target datasets. Compared with other models, extensive experiments and ablation studies ...
Source: Journal of Innovative Optical Health Sciences - May 9, 2022 Category: Biomedical Science Authors: Yu Yao Kaiwen Xue Liwang Liu Shanshan Zhu Chengfeng Yue Yanhong Ji Source Type: research

SpectraTr: A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure
Journal of Innovative Optical Health Sciences,Volume 15, Issue 03, May 2022. The drug supervision methods based on near-infrared spectroscopy analysis are heavily dependent on the chemometrics model which characterizes the relationship between spectral data and drug categories. The preliminary application of convolution neural network in spectral analysis demonstrates excellent end-to-end prediction ability, but it is sensitive to the hyper-parameters of the network. The transformer is a deep-learning model based on self-attention mechanism that compares convolutional neural networks (CNNs) in predictive performance and ha...
Source: Journal of Innovative Optical Health Sciences - April 27, 2022 Category: Biomedical Science Authors: Pengyou Fu Yue Wen Yuke Zhang Lingqiao Li Yanchun Feng Lihui Yin Huihua Yang Source Type: research

Discrimination of periodontal pathogens using Raman spectroscopy combined with machine learning algorithms
This study provides a fast, simple, and accurate method which is very beneficial to differentiate periodontal pathogens. (Source: Journal of Innovative Optical Health Sciences)
Source: Journal of Innovative Optical Health Sciences - April 27, 2022 Category: Biomedical Science Authors: Juan Zhang Yiping Liu Hongxiao Li Shisheng Cao Xin Li Huijuan Yin Ying Li Xiaoxi Dong Xu Zhang Source Type: research

High-speed all-optic optical coherence tomography and photoacoustic microscopy dual-modal system for microcirculation evaluation
Journal of Innovative Optical Health Sciences, Ahead of Print. We propose a high-speed all-optic dual-modal system that integrates spectral-domain optical coherence tomography and photoacoustic microscopy (PAM). A [math] coupler-based interferometer is used to remotely detect the surface vibration caused by photoacoustic (PA) waves. Three outputs of the interferometer are acquired simultaneously with a multi-channel data acquisition card. One channel data with the highest PA signal detection sensitivity is selected for sensitivity compensation. Experiment on the phantom demonstrates that the proposed method can successfull...
Source: Journal of Innovative Optical Health Sciences - April 23, 2022 Category: Biomedical Science Authors: Yang Lin Menghan Yu Yi Wang Ziyue Meng Ang Li Zhonghai He Qiaoyun Wang Jian Liu Yao Yu Yuqian Zhao Xin Zhu Zhenhe Ma Source Type: research

Multivariety and multimanufacturer drug identification based on near-infrared spectroscopy and recurrent neural network
Journal of Innovative Optical Health Sciences, Ahead of Print. Near-infrared (NIR) spectral analysis, which has the advantages of rapidness, nondestruction and high-efficiency, is widely used in the detection of feed, food and mineral. In terms of qualitative identification, it can also be used for the discriminant analysis of medicines. Long short-term memory (LSTM) neural network, bidirectional long short-term memory (BiLSTM) neural network and gated recurrent unit (GRU) network are variants of the recurrent neural network (RNN). The potential relationship between nonlinear features learned from the sequence by these var...
Source: Journal of Innovative Optical Health Sciences - April 20, 2022 Category: Biomedical Science Authors: Wenjie Zeng Yunqi Qiu Yanting Huang Qingping Sun Zhuoya Luo Source Type: research

Rapid and efficient characterization of cervical collagen orientation using linearly polarized colposcopic images
In this study, for the first time, a new method for rapid characterization of the collagen fiber orientations of the cervix using linearly polarized light colposcopy is presented. A total of 24 colposcopic images were captured using a cross-polarized imaging system with white LED light sources. In the preprocessing stage, the Red channel of the RGB image was chosen, which contains no information of the blood vessels because of the low-absorption of blood cells in the red region. OrientationJ, which is an ImageJ plug-in, was used to estimate the local orientation of the collagen fibers. The result shows that in the nonpregn...
Source: Journal of Innovative Optical Health Sciences - April 13, 2022 Category: Biomedical Science Authors: Cat Phan Ngoc Khuong Dung Nguyen Huu Quang Hai Pham Thanh Long Nguyen Quynh Nguyen Ngoc Duc Le Huynh Tien Tran Van Tu Ly Anh Source Type: research

Broadband diffuse optical spectroscopy of two-layered scattering media containing oxyhemoglobin, deoxyhemoglobin, water, and lipids
Journal of Innovative Optical Health Sciences, Ahead of Print. We investigated the relationship between chromophore concentrations in two-layered scattering media and the apparent chromophore concentrations measured with broadband optical spectroscopy in conjunction with commonly used homogeneous medium inverse models. We used diffusion theory to generate optical data from a two-layered distribution of relevant tissue absorbers, namely, oxyhemoglobin, deoxyhemoglobin, water, and lipids, with a top-layer thickness in the range 1 –15[math]mm. The generated data consisted of broadband continuous-wave (CW) diffuse reflectanc...
Source: Journal of Innovative Optical Health Sciences - April 7, 2022 Category: Biomedical Science Authors: Giles Blaney Martina Bottoni Angelo Sassaroli Cristianne Fernandez Sergio Fantini Source Type: research

Automated retinal layer segmentation in optical coherence tomography images with intraretinal fluid
Journal of Innovative Optical Health Sciences, Ahead of Print. We propose a novel retinal layer segmentation method to accurately segment 10 retinal layers in optical coherence tomography (OCT) images with intraretinal fluid. The method used a fan filter to enhance the linear information pertaining to retinal boundaries in an OCT image by reducing the effect of vessel shadows and fluid regions. A random forest classifier was employed to predict the location of the boundaries. Two novel methods of boundary redirection (SR) and similarity correction (SC) were combined to carry out boundary tracking and thereby accurately loc...
Source: Journal of Innovative Optical Health Sciences - April 6, 2022 Category: Biomedical Science Authors: Luquan Wang Xiaowen Li Yong Chen Dingan Han Mingyi Wang Yaguang Zeng Junping Zhong Xuehua Wang Yanhong Ji Honglian Xiong Xunbin Wei Source Type: research

ICA-Unet: An improved U-net network for brown adipose tissue segmentation
Journal of Innovative Optical Health Sciences, Ahead of Print. Brown adipose tissue (BAT) is a kind of adipose tissue engaging in thermoregulatory thermogenesis, metaboloregulatory thermogenesis, and secretory. Current studies have revealed that BAT activity is negatively correlated with adult body weight and is considered a target tissue for the treatment of obesity and other metabolic-related diseases. Additionally, the activity of BAT presents certain differences between different ages and genders. Clinically, BAT segmentation based on PET/CT data is a reliable method for brown fat research. However, most of the current...
Source: Journal of Innovative Optical Health Sciences - March 30, 2022 Category: Biomedical Science Authors: Haolin Wang Zhonghao Wang Jingle Wang Kang Li Guohua Geng Fei Kang Xin Cao Source Type: research

Ring artifacts removal in X-ray-induced acoustic computed tomography
Journal of Innovative Optical Health Sciences, Ahead of Print. X-ray-induced acoustic computed tomography (XACT) is a hybrid imaging modality for detecting X-ray absorption distribution via ultrasound emission. It facilitates imaging from a single projection X-ray illumination, thus reducing the radiation exposure and improving imaging speed. Nonuniform detector response caused by the interference between multichannel data acquisition for ring array transducers and amplifier systems yields ring artifacts in the reconstructed XACT images, which compromises the image quality. We propose model-based algorithms for ring artifa...
Source: Journal of Innovative Optical Health Sciences - March 30, 2022 Category: Biomedical Science Authors: Prabodh Kumar Pandey Hari Om Aggrawal Siqi Wang Kaitlyn Kim An Liu Liangzhong Xiang Source Type: research

Three-dimensional transient simulation of CO2 laser tissue vaporization and experimental evaluation with a hydrogel phantom
In this study, we demonstrated a tissue vaporization simulation using a CO2 laser and performed the experimental validation using a hydrogel phantom with constant physical parameters to evaluate the simulation accuracy of the vaporization process. The laser tissue vaporization simulation consists of the calculation of light transport, photothermal conversion, thermal diffusion, and phase change in the tissue. The vaporization width, depth, and area with CO2 laser irradiation to a tissue model were simulated. The simulated results differed from the actual vaporization width and depth by approximately 20% and 30%, respective...
Source: Journal of Innovative Optical Health Sciences - March 26, 2022 Category: Biomedical Science Authors: Kazuma Sudo Yu Shimojo Takahiro Nishimura Kunio Awazu Source Type: research