期刊文献+
共找到7篇文章
< 1 >
每页显示 20 50 100
Structured illumination microscopy and its new developments 被引量:2
1
作者 Jianling Chen Caimin Qiu +3 位作者 Minghai You Xiaogang Chen hongqin yang Shusen Xie 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2016年第3期63-70,共8页
Optical microscopy allows us to observe the biological structures and processes within living cells.However,the spatial resolution of the optical microscopy is limited to about half of the wavelength by the light di&#... Optical microscopy allows us to observe the biological structures and processes within living cells.However,the spatial resolution of the optical microscopy is limited to about half of the wavelength by the light di®raction.Structured illumination microscopy(SIM),a type of new emerging super-resolution microscopy,doubles the spatial resolution by illuminating the specimen with a patterned light,and the sample and light source requirements of SIM are not as strict as the other super-resolution microscopy.In addition,SIM is easier to combine with the other imaging techniques to improve their imaging resolution,leading to the developments of diverse types of SIM.SIM has great potential to meet the various requirements of living cells imaging.Here,we review the recent developments of SIM and its combination with other imaging techniques. 展开更多
关键词 Structured illumination microscopy diffraction limit SUPER-RESOLUTION
在线阅读 下载PDF
Spectroscopic analysis of the interaction between tetra-(p-sulfoazophenyl-4-aminosulfonyl)-substituted aluminum(Ⅲ)phthalocyanines and serum albumins
2
作者 Liqin Zheng Yipeng He +4 位作者 Pingping Lin Lina Liu hongqin yang Yiru Peng Shusen Xie 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2017年第2期64-71,共8页
The binding interaction between tetra-(p-sulfoazophenyl-4-aminosulfonyl)-substituted aluminum(Ⅲ)phthalocyanine(AIPc),and two-serum albumins(bovine serum albumin(BSA)and human serum albumin(HSA))has been investigated.... The binding interaction between tetra-(p-sulfoazophenyl-4-aminosulfonyl)-substituted aluminum(Ⅲ)phthalocyanine(AIPc),and two-serum albumins(bovine serum albumin(BSA)and human serum albumin(HSA))has been investigated.AlPc could quench the intrinsic fuorescence of BSA and HSA through a static quenching process.The primary and secondary binding sites of AlPc on BSA were domainⅠandⅢof BSA.The primary binding site of AIPc on HSA was domainⅠ,and the secondary binding sites of AlPc on HSA were found at domainsⅠandⅡ.Our results suggest that AIPc readily interact with BSA and HSA implying that the amphiphilic substituents AIPc may contribute to their transportation in the blood. 展开更多
关键词 PHTHALOCYANINE BSA HSA fluorescence spectroscopy UV-Vis spectroscopy
在线阅读 下载PDF
Super-resolution microscopy based on parallel detection
3
作者 Zhimin Zhang Shaocong Liu +6 位作者 Liang Xu Yubing Han Cuifang Kuang Yong Liu Xiang Hao hongqin yang Xu Liu 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2019年第6期210-216,共7页
Image scanning microscopy based on pixel reassignment can improve the confocal resolution limit without losing the image signal-to-noise ratio(SNR)greatly[C.J.R.Sheppard,"Super resolution in confocal imaging,&quo... Image scanning microscopy based on pixel reassignment can improve the confocal resolution limit without losing the image signal-to-noise ratio(SNR)greatly[C.J.R.Sheppard,"Super resolution in confocal imaging,"Optik 80(2)53-54(1988).C.B.Miller,E.Jorg,"Image scanning microscopy,"Phys.Reu.Lett.104(19)198101(2010).C.J.R.Sheppard,s.B.Mehta,R Heintzmann,"Superresolution by image scanning microscopy using pixel reassignment,"Opt.Lett.38(15)28892892(2013)].Here,we use a tailor-made optical fiber and 19 avalanche pho-todiodes(APDs)as parallel detectors to upgrade our existing confocal microscopy,termed as parallel-detection super resolution(PDSR)microscopy.In order to obtain the correct shift value,we use the normalized 2D cross correlation to calculate the shifting value of each image.We characterized our system performance by imaging fuorescence beads and applied this system to observing the 3D structure of biological specimen. 展开更多
关键词 Pixel reassignment SIM parallel-detection super-resolution(PDSR)microscopy normalized Cros correlation algorithm
在线阅读 下载PDF
E®ect of light polariztion on pattern illumination super-resolution imaging
4
作者 Caimin Qiu Jianling Chen +3 位作者 Zexian Hou Chaoxian Xu Shusen Xie hongqin yang 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2016年第3期71-78,共8页
Far-¯eld°uorescence microscopy has made great progress in the spatial resolution,limited by light diffraction,since the super-resolution imaging technology appeared.And stimulated emission depletion(STED)mic... Far-¯eld°uorescence microscopy has made great progress in the spatial resolution,limited by light diffraction,since the super-resolution imaging technology appeared.And stimulated emission depletion(STED)microscopy and structured illumination microscopy(SIM)can be grouped into one class of the super-resolution imaging technology,which use pattern illumination strategy to circumvent the di®raction limit.We simulated the images of the beads of SIM imaging,the intensity distribution of STED excitation light and depletion light in order to observe effects of the polarized light on imaging quality.Compared to¯xed linear polarization,circularly polarized light is more suitable for SIM on reconstructed image.And right-handed circular polarization(CP)light is more appropriate for both the excitation and depletion light in STED system.Therefore the right-handed CP light would be the best candidate when the SIM and STED are combined into one microscope.Good understanding of the polarization will provide a reference for the patterned illumination experiment to achieve better resolution and better image quality. 展开更多
关键词 Structured illumination microscopy stimulated emission depletion microscopy polarized light di®raction limit
在线阅读 下载PDF
Diagnosis of knee osteoarthritis by OCT and surface-enhanced Raman spectroscopy
5
作者 Ran An Huaimin Gu +6 位作者 Zhouyi Guo Huiqing Zhong Huajiang Wei Guoyong Wu Yonghong He Shusen Xie hongqin yang 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2022年第5期13-27,共15页
In this paper,optical coherence tomography(OCT)and surface-enhanced Raman spectroscopy(SERS)were used to characterize normal knee joint(NKJ)tissue and knee osteoarthritis(KOA)tissue ex vivo.OCT images show that there ... In this paper,optical coherence tomography(OCT)and surface-enhanced Raman spectroscopy(SERS)were used to characterize normal knee joint(NKJ)tissue and knee osteoarthritis(KOA)tissue ex vivo.OCT images show that there is a clear hierarchical structure in NKJ tissue,including surface layer,transitional layer,radiation layer and cartilage matrix calcification layer tissue structure,while the hierarchical structure of KOA tissue is not clear and unevenly distributed,and the pathological tissues at different stages also show significant di®erences.SERS shows that NKJ tissue and mild osteoarthritic knee cartilage(MiKOA)tissue have strong characteristic Raman peaks at 964,1073(1086),1271,1305,1442,1660 and 1763 cm^(-1).Compared with the Raman spectrum of NKJ tissue,the Raman characteristic peaks of MiKOA tissue have some shifts,moving from 1073 cm^(-1)to 1086 cm^(-1)and from 1542 cm^(-1)to 1442 cm^(-1).There is a characteristic Raman peak of 1271 cm^(-1)in MiKOA tissue,but not in NKJ tissue.Compared with NKJ tissue,severely degenerated cartilage(SdKOA)tissues show some new SERS peaks at 1008,1245,1285,1311 and 1321 cm^(-1),which are not seen in SERS spectra of NKJ tissue.Principal component analysis(PCA)was used to analyze the Raman spectra of 1245–1345 cm^(-1)region.The results show that PCA can distinguish NKJ,MiKOA and SdKOA tissues and the accuracy is about 90%.These results indicate that OCT can clearly distinguish NKJ,MiKOA,moderate osteoarthritic knee cartilage(MoKOA)and SdKOA tissue,while SERS can provide further judgment basis.The results also prove that the contents of protein and polysaccharide in knee tissue are changed during the pathological process of knee tissue,which is the cause of pain caused by poor friction in knee joint during movement. 展开更多
关键词 Optical coherence tomography surface-enhanced Raman spectroscopy knee osteoarthritis.
在线阅读 下载PDF
High-performance laser speckle contrast image vascular segmentation without delicate pseudo-label reliance
6
作者 Shenglan Yao Huiling Wu +8 位作者 Suzhong Fu Shuting Ling Kun Wang hongqin yang Yaqin He Xiaolan Ma Xiaofeng Ye Xiaofei Wen Qingliang Zhao 《Journal of Innovative Optical Health Sciences》 2025年第1期117-133,共17页
Laser speckle contrast imaging(LSCI)is a noninvasive,label-free technique that allows real-time investigation of the microcirculation situation of biological tissue.High-quality microvascular segmentation is critical ... Laser speckle contrast imaging(LSCI)is a noninvasive,label-free technique that allows real-time investigation of the microcirculation situation of biological tissue.High-quality microvascular segmentation is critical for analyzing and evaluating vascular morphology and blood flow dynamics.However,achieving high-quality vessel segmentation has always been a challenge due to the cost and complexity of label data acquisition and the irregular vascular morphology.In addition,supervised learning methods heavily rely on high-quality labels for accurate segmentation results,which often necessitate extensive labeling efforts.Here,we propose a novel approach LSWDP for high-performance real-time vessel segmentation that utilizes low-quality pseudo-labels for nonmatched training without relying on a substantial number of intricate labels and image pairing.Furthermore,we demonstrate that our method is more robust and effective in mitigating performance degradation than traditional segmentation approaches on diverse style data sets,even when confronted with unfamiliar data.Importantly,the dice similarity coefficient exceeded 85%in a rat experiment.Our study has the potential to efficiently segment and evaluate blood vessels in both normal and disease situations.This would greatly benefit future research in life and medicine. 展开更多
关键词 Biomedical imaging laser speckle contrast imaging vessel segmentation weakly supervised learning microcirculation
在线阅读 下载PDF
机器学习在细胞检测与分割应用与新进展
7
作者 张恒超 郑迪乙 +1 位作者 杨洪钦 陈骐 《福光技术》 2023年第2期30-36,共7页
病理组织图像中细胞核的分割与检测是对细胞核形态进行定性定量分析的基础。近年来,深度学习在计算机视觉领域,尤其是医学图像分析方面,展现出了强大的性能。同时,定性定量地分析病理图像中细胞核的结构特征和形态变化在理解人类疾病以... 病理组织图像中细胞核的分割与检测是对细胞核形态进行定性定量分析的基础。近年来,深度学习在计算机视觉领域,尤其是医学图像分析方面,展现出了强大的性能。同时,定性定量地分析病理图像中细胞核的结构特征和形态变化在理解人类疾病以及开发安全有效的治疗方法方面扮演着关键角色。本文回顾了数字病理图像中深度学习方法的应用,并重点介绍了在细胞核检测和分割领域中的深度学习方法。该领域面临的主要挑战包括实现准确且可重复的细胞检测,以及从病理图像中分割出细胞核实例最后,我们讨论了深度学习在细胞检测和分割中的潜在应用和发展趋势。 展开更多
关键词 数字病理图像 深度学习 细胞核检测与分割
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部