Journal of Innovative Optical Health Sciences最新文献

Label-free in-vivo classification and tracking of red blood cells and platelets using Dynamic-YOLOv4 network 使用动态-YOLOv4 网络对红细胞和血小板进行无标记体内分类和跟踪

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2024-05-25 DOI: 10.1142/s1793545824500093

Caizhong Guan, Bin He, Hongting Zhang, Shangpan Yang, Yang Xu, Honglian Xiong, Yaguang Zeng, Mingyi Wang, Xunbin Wei

{"title":"Label-free in-vivo classification and tracking of red blood cells and platelets using Dynamic-YOLOv4 network","authors":"Caizhong Guan, Bin He, Hongting Zhang, Shangpan Yang, Yang Xu, Honglian Xiong, Yaguang Zeng, Mingyi Wang, Xunbin Wei","doi":"10.1142/s1793545824500093","DOIUrl":"https://doi.org/10.1142/s1793545824500093","url":null,"abstract":"In-vivo flow cytometry is a noninvasive real-time diagnostic technique that facilitates continuous monitoring of cells without perturbing their natural biological environment, which renders it a valuable tool for both scientific research and clinical applications. However, the conventional approach for improving classification accuracy often involves labeling cells with fluorescence, which can lead to potential phototoxicity. This study proposes a label-free in-vivo flow cytometry technique, called dynamic YOLOv4 (D-YOLOv4), which improves classification accuracy by integrating absorption intensity fluctuation modulation (AIFM) into YOLOv4 to demodulate the temporal features of moving red blood cells (RBCs) and platelets. Using zebrafish as an experimental model, the D-YOLOv4 method achieved average precisions (APs) of 0.90 for RBCs and 0.64 for thrombocytes (similar to platelets in mammals), resulting in an overall AP of 0.77. These scores notably surpass those attained by alternative network models, thereby demonstrating that the combination of physical models with neural networks provides an innovative approach toward developing label-free in-vivo flow cytometry, which holds promise for diverse in-vivo cell classification applications.","PeriodicalId":16248,"journal":{"name":"Journal of Innovative Optical Health Sciences","volume":"40 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141188217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image 从眼底结构图像预测眼底荧光素血管造影图像的统一深度学习模型

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2024-03-22 DOI: 10.1142/s1793545824500032

Yiwei Chen, Yi He, Hong Ye, Lina Xing, Xin Zhang, Guohua Shi

{"title":"Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image","authors":"Yiwei Chen, Yi He, Hong Ye, Lina Xing, Xin Zhang, Guohua Shi","doi":"10.1142/s1793545824500032","DOIUrl":"https://doi.org/10.1142/s1793545824500032","url":null,"abstract":"The prediction of fundus fluorescein angiography (FFA) images from fundus structural images is a cutting-edge research topic in ophthalmological image processing. Prediction comprises estimating FFA from fundus camera imaging, single-phase FFA from scanning laser ophthalmoscopy (SLO), and three-phase FFA also from SLO. Although many deep learning models are available, a single model can only perform one or two of these prediction tasks. To accomplish three prediction tasks using a unified method, we propose a unified deep learning model for predicting FFA images from fundus structure images using a supervised generative adversarial network. The three prediction tasks are processed as follows: data preparation, network training under FFA supervision, and FFA image prediction from fundus structure images on a test set. By comparing the FFA images predicted by our model, pix2pix, and CycleGAN, we demonstrate the remarkable progress achieved by our proposal. The high performance of our model is validated in terms of the peak signal-to-noise ratio, structural similarity index, and mean squared error.","PeriodicalId":16248,"journal":{"name":"Journal of Innovative Optical Health Sciences","volume":"132 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140199314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review of polarization-based technology for biomedical applications 基于偏振技术的生物医学应用回顾

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2024-03-22 DOI: 10.1142/s1793545824300027

Caizhong Guan, Nan Zeng, Honghui He

引用次数: 0

Spatial sensitivity to absorption changes for various near-infrared spectroscopy methods: A compendium review 各种近红外光谱仪方法对吸收变化的空间灵敏度：简编综述

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2024-02-24 DOI: 10.1142/s1793545824300015

Giles Blaney, Angelo Sassaroli, Sergio Fantini

{"title":"Spatial sensitivity to absorption changes for various near-infrared spectroscopy methods: A compendium review","authors":"Giles Blaney, Angelo Sassaroli, Sergio Fantini","doi":"10.1142/s1793545824300015","DOIUrl":"https://doi.org/10.1142/s1793545824300015","url":null,"abstract":"This compendium review focuses on the spatial distribution of sensitivity to localized absorption changes in optically diffuse media, particularly for measurements relevant to near-infrared spectroscopy. The three temporal domains, continuous wave, frequency domain, and time domain, each obtain different optical data types whose changes may be related to effective homogeneous changes in the absorption coefficient. Sensitivity is the relationship between a localized perturbation and the recovered effective homogeneous absorption change. Therefore, spatial sensitivity maps representing the perturbation location can be generated for the numerous optical data types in the three temporal domains. The review first presents a history of the past 30 years of work investigating this sensitivity in optically diffuse media. These works are experimental and theoretical, presenting one-, two-, and three-dimensional sensitivity maps for different Near-Infrared Spectroscopy methods, domains, and data types. Following this history, we present a compendium of sensitivity maps organized by temporal domain and then data type. This compendium provides a valuable tool to compare the spatial sensitivity of various measurement methods and parameters in one document. Methods for one to generate these maps are provided in Appendix A, including the code. This historical review and comprehensive sensitivity map compendium provides a single source researchers may use to visualize, investigate, compare, and generate sensitivity to localized absorption change maps.","PeriodicalId":16248,"journal":{"name":"Journal of Innovative Optical Health Sciences","volume":"7 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140152959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distal-scanning common path probe for optical coherence tomography 用于光学相干断层扫描的远端扫描共路探头

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-12-30 DOI: 10.1142/s1793545823500347

Zhengyu Chen, Bin He, Zichen Yin, Zhangwei Hu, Yejiong Shi, Chengming Wang, Xiao Zhang, Ning Zhang, Linkai Jing, Guihuai Wang, Ping Xue

引用次数: 0

Vein visualization enhancement by dual-wavelength phase-locked denoising technology 双波长锁相去噪技术提高静脉可视化效果

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-12-29 DOI: 10.1142/s1793545823500335

Lihua Ruan, Zhiqin Yin, Shibing Zhou, Weibo Zheng, Wei Lu, Tao Zhang, Shaowei Wang

引用次数: 0

NIR-II fluorescence imaging in liver tumor surgery: A narrative review 肝脏肿瘤手术中的近红外-II荧光成像：综述

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-12-08 DOI: 10.1142/s1793545823300100

Zihao Liu, Lifeng Yan, Qingsong Hu, Dalong Yin

引用次数: 0

Photoacoustic elastography based on laser-excited shear wave 基于激光激发剪切波的光声弹性成像技术

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-12-08 DOI: 10.1142/s1793545823500311

Yang Liu, Ruoyi Shi, Gang Li, Mingjian Sun

引用次数: 0

In vivo measurement of NADH fluorescence lifetime in skeletal muscle via fiber-coupled time-correlated single photon counting 通过纤维耦合时间相关单光子计数法在体内测量骨骼肌中的 NADH 荧光寿命

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-12-08 DOI: 10.1142/s179354582350030x

Kathryn M. Priest, Jacob V. Schluns, Nathania Nischal, Colton L. Gattis, Jeffrey C. Wolchok, Timothy J. Muldoon

引用次数: 0

Application of cross-polarization imaging in distinguishing between squamous and columnar epithelium of the cervix 交叉偏振成像在区分宫颈鳞状上皮和柱状上皮中的应用

IF 2.5 3区医学

Journal of Innovative Optical Health Sciences Pub Date : 2023-11-23 DOI: 10.1142/s1793545823430022

Cat Phan Ngoc Khuong, H. Trung, Duc Le Huynh, Quynh Nguyen Ngoc, Hai Pham Thanh, Long Nguyen, Hanh Tran Thi Thu, T. L. Anh, Tienen T G Van

引用次数: 0