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Journal of Innovative Optical Health Sciences 2016年第5期9卷 71-81页

作者： honglian xiong Zhouyi Guo Huiqing Zhong Yanhong Ji Sun-Yat sen University Cancer Center Guangzhou 510060 P.R.China Institute of Laser Life Science College of Biophotonics South China Normal UniversityGuangzhou 510631P.R.China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication Engineering South China Normal University Guangzhou 510006 P.R.China

Contamination by accidental cutaneous contact with the commercial products and the air pol-hutants raised a considerable health and safety *** study aimed to trace the dynamics of the 20 nm gold nanopartide(GNP)penetration and accumulation in rat skin tissues using a surface-enhanced Raman scattering(SERS)*** the topical application of GNPs on rat skin surface,the SERS spectra were recorded for every 15 pum to an overall depth of 75 pum from skin surface for 150 *** processes of GNP penetration in rat skin were accompanied by aggregation of GNPs,which affected SERS *** results revealed that 20 nm GNPs can penetrate through stratum corneum layer,viable epidermis layer,and then into dermis *** study demonstrated for the first time the potential of SERS spectroscopy to monitor the penetration and accumulation of GNPs in rat skin.

关键词： Surface enhanced Raman scattering spectroscopy rat skin gold nanopartide pene-tration aggregation.

In vivo monitoring of microneedle-based transdermal drug delivery of insulin

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Journal of Innovative Optical Health Sciences 2018年第5期11卷 84-95页

作者： Jiawei Zhao Yongbo Wu Junbo Chen Bangrong Lu honglian xiong Zhilie Tang Yanhong Ji School of Physics and Telecom Engineering South China Normal University No.378 West Waihuan Street Guangzhou 510006P.R.China MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science College of Biophotonics South China Normal University No.55 Zhongshan Xi RoadGuangzhou 510631P.R.China

Soluble microneedles(MNs)have recently become an eficient and minimally invasive tool in transdermal drug delivery because of their excellent biocompatibility and rapid ***,direct monitoring of structural and functional changes of MNs in vivo to estimate the efficieancy of insulin delivery is *** monitored the dissolution of MNs to obtain structural imaging of MNs'changes by using optical coherence tomography(OCT).We also observed the effect of MNs on microvascular conditions with laser speckle contrast imaging(LSCIT)and measured the blood perfusion of skin to obtain functional imaging of *** determined the performance of two soluble MN arrays made from polyvinyi alcohol(PVA)and polyvinyl alco-hol/polyvinylpyrolidone(PVA/PVP)by calculating the cross sectional areas of the micro-channels in mouse skin as a function of ***,the change in blood glucose before and after using MNs loaded with insulin was evaluated as an auxiliary means to demonstrate the ability of the soluble MNs to deliver *** showed that the structural imaging of these MNs could be observed in vivo via OCT in real time and the fumctional imaging of MNs could be showed using LSCI OCT and LSCI are potential tools in monitoring MNs structural and functional changes.

关键词： Soluble microneedle insulin optical coherence tomography laser speckle contrast imaging

Label-free in-vivo classi-cation and tracking of red blood cells and platelets using Dynamic-YOLOv4 network

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Journal of Innovative Optical Health Sciences 2024年第5期17卷 89-103页

作者： Caizhong Guan Bin He Hongting Zhang Shangpan Yang Yang Xu honglian xiong Yaguang Zeng Mingyi Wang Xunbin Wei Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology School of Physics and Optoelectronic Engineering Foshan University Foshan 528225P.R.China Shenzhen International Graduate School Tsinghua University Shenzhen 518055P.R.China The Second Affliated Hospital of Heilongjiang University of Chinese Medicine Harbin 150001 P.R.China Peking University Cancer Hospital&Institute Beijing 100142 P.R.China Biomedical Engineering Department Peking University Beijing 100081P.R.China Institute of Medical Technology Peking University Health Science Center Beijing 100191P.R.China International Cancer Institute Peking University Beijing 100191P.R.China

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 ***,the conventional approach for improving classification accuracy often involves labeling cells with fluorescence,which can lead to potential *** 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 *** 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 *** 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-vivoflow cytometry,which holds promise for diverse in-vivo cell classification applications.

关键词： Label-free in-vivoflow cytometry cell classification and tracking D-YOLOv4

Automated retinal layer segmentation in optical coherence tomography images with intraretinal fluid

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Journal of Innovative Optical Health Sciences 2022年第3期15卷 81-91页

作者： Luquan Wang Xiaowen Li Yong Chen Dingan Han Mingyi Wang Yaguang Zeng Junping Zhong Xuehua Wang Yanhong Ji honglian xiong Xunbin Wei School of Physics and Optoelectronic Engineering Foshan University FoshanGuangdong 528000P.R.China School of Mechatronic Engineering and Automation Foshan University FoshanGuangdong 528000P.R.China Guangdong-Hong Kong-Macao Intelligent Micro-Nano Optoelectronic Technology Joint Laboratory Foshan University FoshanGuangdong 528000P.R.China Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding Foshan Guangdong 528000P.R.China Department of Biomedical Engineering Peking University Beijing 100081P.R.China Key Laboratory of Carcinogenesis and Translational Research Cancer Hospital and Institute Peking University Beijing 100142P.R.China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 P.R.China Laboratory of Quantum Engineering and Quantum Material School of Physics and Telecommunication Engineering South China Normal University Guangzhou Guangdong 510006P.R.China

We propose a novel retinal layer segmentation method to accurately segment 10 retinal layers in optical coherence tomography(OCT)images with intraretinal *** 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 *** novel methods of boundary redirection(SR)and similarity correction(SC)were combined to carry out boundary tracking and thereby accurately locate retinal layer *** were performed on healthy controls and subjects with diabetic macular edema(DME).The proposed method required an average of 415 s for healthy controls and of 482 s for subjects with DME and achieved high accuracy for both groups of *** proposed method requires a shorter running time than previous methods and also provides high ***,the proposed method may be a better choice for small training datasets.

关键词： Retinal layer segmentation optical coherence tomography fluid optical coherence tomography scan random forests

Label-free breast cancer detection and classification by convolutional neural network-based on exosomes surface-enhanced raman scattering

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Journal of Innovative Optical Health Sciences 2023年第2期16卷 3-15页

作者： Xiao Ma honglian xiong Jinhao Guo Zhiming Liu Yaru Han Mingdi Liu Yanxian Guo Mingyi Wang Huiqing Zhong Zhouyi Guo MOE Key Laboratory of Laser Life Science&Institute of Laser Life Science SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology&Guangdong Provincial Key Laboratory of Laser Life Science Guangzhou Key Laboratory of Spectral Analysis and Functional Probes College of Biophotonics South China Normal University Guangzhou 510631 P.R.China Department of Physics and Optoelectronic Engineering Foshan University Guangdong 528011P.R.China

Because the breast cancer is an important factor that threatens women's lives and health,early diagnosis is helpful for disease screening and a good *** are nanovesicles,secreted from cells and other body fluids,which can reflect the genetic and phenotypic status of parental *** with other methods for early diagnosis of cancer(such as circulating tumor cells(CTCs)and circulating tumor DNA),exosomes have a richer number and stronger biological stability,and have great potential in early ***,it has been proposed as promising biomarkers for diagnosis of early-stage ***,distinguishing different exosomes remain is a major biomedical *** this paper,we used predictive Convolutional Neural model to detect and analyze exosomes of normal and cancer cells with surface-enhanced Raman scattering(SERS).As a result,it can be seen from the SERS spectra that the exosomes of MCF-7,MDA-MB-231 and MCF-10A cells have similar peaks(939,1145 and 1380 cm^(-1)).Based on this dataset,the predictive model can achieve 95%*** with principal component analysis(PCA),the trained CNN can classify exosomes from different breast cancer cells with a superior *** results indicate that using the sensitivity of Raman detection and exosomes stable presence in the incubation period of cancer cells,SERS detection combined with CNN screening may be used for the early diagnosis of breast cancer in the future.

关键词： Exosomes surface-enhanced Raman scattering(SERS) breast cancer convolutional neural model label-free

Detection of cells by flow cytometry:Counting,imaging,and cell classification

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Journal of Innovative Optical Health Sciences 2023年第3期16卷 32-42页

作者： Yingsi Yu Yimei Zheng Caizhong Guan Min Yi Yunzhao Chen Yaguang Zeng honglian xiong Xuehua Wang Junping Zhong Wenzheng Ding Mingyi Wang Xunbin Wei Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology School of Physics and Optoelectronic Engineering Foshan University Foshan 528225P.R.China Department of Biomedical Engineering Peking University Beijing 100081P.R.China

The study of circulating cells in the blood stream is critical,as it covers many felds of biomed-icine,including immunology,cell biology,oncology,and reproductive ***-viuo flowcytometry(IVFC)is a new tool to monitor and count cells in real time for long durations in theirnative biological *** review describes two main categories of IVFC,ie.,labeledand label-free *** focuses on label-free IVFC and introduces its technological developmentand related biological *** cell recognition is the basis of flow cytometrycounting,this review also describes various methods for the classification of unlabeled cells,including the latest machine learning-based technologies.

关键词： In-vivo flow cytometry label-free cell classification.

Insights into the deep-tissue photothermal therapy in near-infrared II region based on tumor-targeted MoO2 nanoaggregates

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Science China Materials 2020年第6期63卷 1085-1098页

作者： Yanxian Guo Yang Li Wolun Zhang Hongru Zu Haihong Yu Dongling Li honglian xiong Tristan THormel Chaofan Hu Zhouyi Guo Zhiming Liu Guang Provincial Key Laboratory of Laser Life Science&SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology College of BiophotonicsSouth China Normal UniversityGuangzhou510631China Guangdong Provincial Engineering Technology Research Center for Optical Agriculture College of Materials and EnergySouth China Agricultural UniversityGuangzhou 510642China Department of Physics and Optoelectronic Engineering Foshan UniversityFoshan 528000China Casey Eye Institute Oregon Health and Science UniversityPortland97239 OregonUSA

Research on deep-tissue photothermal therapy(PTT)in the near-infrared II(NIR-II,1000–1350 nm)region has bloomed in recent years,owing to higher maximum permissible exposure and deeper tissue penetration over that in the near-infrared I(NIR-I,650–950 nm)***,more details need to be uncovered to facilitate a fundamental understanding of NIR-Ⅱ***,a tumor-targeted therapeutic nanosystem based on NIR-responsive molybdenum oxide(MoO2)nanoaggregates was *** photothermal conversion capabilities of MoO2 in the NIR-I andⅡregions were investigated step by step,from a simple tissue phantom to a three-dimensional cellular system,and further to a tumor-bearing animal ***-Ⅱlaser exhibited a lower photothermal attenuation coefficient(0.541 at1064 nm)in a tissue phantom compared with its counterpart(0.959 at 808 nm),which allows it to be more capable of deeptissue PTT in vitro and in *** profile analysis elucidated a negative correlation between the microstructural collapse of tumor tissue and the penetration ***,the depth-related tumor ablation was also studied by Raman fingerprint analysis,which demonstrated the major biochemical compositional disturbances in photothermal ablated tumor tissues,providing fundamental knowledge to NIR-Ⅱdeeptissue photothermal therapy.

关键词： second near-infrared window photothermal therapy molybdenum oxide depth profile analysis Raman biochemical assay

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妇女逐阶梯宫颈癌筛查方法探析

中国社区医师 2016年第21期32卷 138-139页

作者：熊红莲重庆市万盛区人民医院 400800

目的:探讨妇女逐阶梯宫颈癌筛查的具体操作方法及实践效果。方法:收治有性生活且未行HPV检查的妇女进行HPV+TCT检查,统计HPV与TCT检查结果。结果:同时行两种检查的患者共680例,仅行TCT检查的1 073例(包括单位体检仅行TCT检查人员),HPV(+... 详细信息

目的:探讨妇女逐阶梯宫颈癌筛查的具体操作方法及实践效果。方法:收治有性生活且未行HPV检查的妇女进行HPV+TCT检查,统计HPV与TCT检查结果。结果:同时行两种检查的患者共680例,仅行TCT检查的1 073例(包括单位体检仅行TCT检查人员),HPV(+)、TCT(+)患者共37例,阴道镜活检均有异常,其病检阳性率100%,HPV(-)、TCT(+)共17例,活检均为慢性宫颈炎,考虑TCT假阳性,假阳性率37%,HPV(+)、TCT(-)共108例。结论:为规范宫颈癌筛查流程,应当联合HPV与TCT检查以提高诊断结果的可靠性。

关键词：人乳头瘤病毒基因分型宫颈液基细胞学检查宫颈癌筛查

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制药废水深度处理技术的研究进展

化工与医药工程 2014年第1期35卷 47-49,20页

作者：熊红莲福斯特惠勒(河北)工程设计有限公司上海坤元医药工程分公司上海200050

随着制药废水排放标准的日趋严格,对传统的物化和生物处理工艺处理后的出水进行深度处理是满足新排放要求的必然趋势。综述了Fenton氧化、光催化氧化和电化学氧化三种高级氧化技术以及膜生物反应器用于深度处理制药废水的研究现状,分析... 详细信息

随着制药废水排放标准的日趋严格,对传统的物化和生物处理工艺处理后的出水进行深度处理是满足新排放要求的必然趋势。综述了Fenton氧化、光催化氧化和电化学氧化三种高级氧化技术以及膜生物反应器用于深度处理制药废水的研究现状,分析了这些技术的特点,并展望了我国制药废水深度处理的发展前景。

关键词：制药废水高级氧化技术膜生物反应器

基于RAU-net的视网膜OCT图像快速自动分层研究

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华南师范大学学报（自然科学版） 2021年第2期53卷 1-6页

作者：曾兴晖许祥丛李晓王茗祎钟俊平熊红莲佛山科学技术学院机电工程与自动化学院佛山528225 佛山科学技术学院物理与光电工程学院佛山528225

利用计算机图像处理技术自动分割视网膜图像,获得各层的厚度,可对多种视网膜疾病进行直观评估.为了快速准确地对OCT视网膜图像进行自动分层,提出一种结合RAU-net和图像搜索的视网膜图像自动分层方法.该方法在U-net的基础上加入了残差块... 详细信息

利用计算机图像处理技术自动分割视网膜图像,获得各层的厚度,可对多种视网膜疾病进行直观评估.为了快速准确地对OCT视网膜图像进行自动分层,提出一种结合RAU-net和图像搜索的视网膜图像自动分层方法.该方法在U-net的基础上加入了残差块结构和注意力门结构,残差块结构在构建更深的网络、获取高级特征的同时,有效避免了梯度消失和梯度爆炸问题,注意力门结构突出了模型对视网膜图像重要特征的学习.由模型预测后得到的分割结果获取9条边界的感兴趣区域,然后运用图像搜索对分层图像进行边界优化,得到精确的视网膜分层图像.结果表明:该RAU-net算法与手动分层的误差约为1像素,且完成1帧OCT视网膜图像的分层只需要4 s.通过RAU-net与图像搜索相结合的方法为视网膜疾病的临床诊断和治疗提供了快速准确的定量分析方法.

关键词：视网膜层分割残差块注意力门 U-net 图像搜索