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随机动量因子的SMLMS算法及分析 被引量:1
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作者 杨大力 刘泽民 《电子学报》 EI CAS CSCD 北大核心 1993年第7期61-68,共8页
本文作为对文献[2,3]的补充和改进,提出了一种具有随机动量因子的SMLMS算法。SMLMS算法将传统MLMS算法中的常动量因子改变为一衰减的随机变量,从而为自适应滤波器提供更小的误调量和更好的误差扰动的补偿。
关键词 随机动量因子 smlmS 自适应滤波 误调量 误差扰动
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Switching Equalization Algorithm Based on a New SNR Estimation Method
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作者 Qiang Li Shao-Qian Li 《Journal of Electronic Science and Technology of China》 2007年第3期201-205,共5页
It is well-known that turbo equalization with the max-log-map (MLM) rather than the log-map (LM) algorithm is insensitive to signal to noise ratio (SNR) mismatch. As our first contribution, an improved MLM algor... It is well-known that turbo equalization with the max-log-map (MLM) rather than the log-map (LM) algorithm is insensitive to signal to noise ratio (SNR) mismatch. As our first contribution, an improved MLM algorithm called scaled max-log-map (SMLM) algorithm is presented. Simulation results show that the SMLM scheme can dramatically outperform the MLM without sacrificing the robustness against SNR mismatch. Unfortunately, its performance is still inferior to that of the LM algorithm with exact SNR knowledge over the class of high-loss channels. As our second contribution, a switching turbo equalization scheme, which switches between the SMLM and LM schemes, is proposed to practically close the performance gap. It is based on a novel way to estimate the SNR from the reliability values of the extrinsic information of the SMLM algorithm. 展开更多
关键词 Scaled max-log-map smlm SNR estimation soft information switching equalization scheme turbo equalization.
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Three-color single-molecule localization microscopy in chromatin
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作者 Nicolas Acosta Ruyi Gong +7 位作者 Yuanzhe Su Jane Frederick Karla I.Medina Wing Shun Li Kiana Mohammadian Luay Almassalha Geng Wang Vadim Backman 《Light(Science & Applications)》 2025年第5期1265-1277,共13页
Super-resolution microscopy has revolutionized our ability to visualize structures below the diffraction limit of conventional optical microscopy and is particularly useful for investigating complex biological targets... Super-resolution microscopy has revolutionized our ability to visualize structures below the diffraction limit of conventional optical microscopy and is particularly useful for investigating complex biological targets like chromatin.Chromatin exhibits a hierarchical organization with structural compartments and domains at different length scales,from nanometers to micrometers.Single molecule localization microscopy(SMLM)methods,such as STORM,are essential for studying chromatin at the supra-nucleosome level due to their ability to target epigenetic marks that determine chromatin organization.Multi-label imaging of chromatin is necessary to unpack its structural complexity.However,these efforts are challenged by the high-density nuclear environment,which can affect antibody binding affinities,diffusivity and non-specific interactions.Optimizing buffer conditions,fluorophore stability,and antibody specificity is crucial for achieving effective antibody conjugates.Here,we demonstrate a sequential immunolabeling protocol that reliably enables three-color studies within the dense nuclear environment.This protocol couples multiplexed localization datasets with a robust analysis algorithm,which utilizes localizations from one target as seed points for distance,density and multi-label joint affinity measurements to explore complex organization of all three targets.Applying this multiplexed algorithm to analyze distance and joint density reveals that heterochromatin and euchromatin are not-distinct territories,but that localization of transcription and euchromatin couple with the periphery of heterochromatic clusters.This work is a crucial step in molecular imaging of the dense nuclear environment as multi-label capacity enables for investigation of complex multi-component systems like chromatin with enhanced accuracy. 展开更多
关键词 investigating complex biological targets hierarchical organization molecule localization microscopy smlm methodssuch three color single molecule localization microscopy visualize structures chromatin super resolution microscopy conventional optical microscopy structural compartments
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结合多次DBSCAN和层次聚类算法的膜蛋白单分子定位超分辨图像分割 被引量:8
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作者 杨建宇 胡芬 +5 位作者 邢福临 董浩 侯梦迪 李任植 潘雷霆 许京军 《中国激光》 EI CAS CSCD 北大核心 2023年第3期78-85,共8页
膜蛋白在细胞膜上的时空分布形式决定了其活性状态及功能,在调控细胞生命活动过程中起着重要作用。单分子定位超分辨成像(SMLM)技术为在纳米尺度解析膜蛋白的空间分布提供了可能,但分辨率的极大提升对图像准确聚类分割提出了更高要求。... 膜蛋白在细胞膜上的时空分布形式决定了其活性状态及功能,在调控细胞生命活动过程中起着重要作用。单分子定位超分辨成像(SMLM)技术为在纳米尺度解析膜蛋白的空间分布提供了可能,但分辨率的极大提升对图像准确聚类分割提出了更高要求。基于密度的空间聚类算法(DBSCAN)是常用的聚类方法之一,但其对于膜蛋白分布不均匀的SMLM超分辨图像的分割效果往往不太理想。本文提出了一种结合多次DBSCAN和层次聚类的混合聚类算法,该算法以DBSCAN方法为分割基础,通过进一步的面积阈值分析和层次聚类,在保持超分辨点簇图像精确聚类识别的前提下,仍能保留每个点簇内的多次定位信号。将该算法应用于模拟数据集和实验数据分割得到的轮廓系数等性能普遍优于传统DBSCAN算法。这种混合聚类方法为膜蛋白SMLM超分辨图像的聚类分割提供了新思路和新方法,有助于更精准地分析膜蛋白在纳米尺度上的空间分布信息。 展开更多
关键词 生物光学 单分子定位超分辨成像 超分辨图像分割 膜蛋白 基于密度的空间聚类算法 层次聚类算法
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Switchable and Functional Fluorophores for Multidimensional Single-Molecule Localization Microscopy
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作者 Yunshu Liu Md Abul Shahid +4 位作者 Hongjing Mao Jiahui Chen Michael Waddington Ki-Hee Song Yang Zhang 《Chemical & Biomedical Imaging》 2023年第5期403-413,共11页
Multidimensional single-molecule localization microscopy(mSMLM)represents a paradigm shift in the realm of super-resolution microscopy techniques.It affords the simultaneous detection of singlemolecule spatial locatio... Multidimensional single-molecule localization microscopy(mSMLM)represents a paradigm shift in the realm of super-resolution microscopy techniques.It affords the simultaneous detection of singlemolecule spatial locations at the nanoscale and functional information by interrogating the emission properties of switchable fluorophores.The latter is finely tuned to report its local environment through carefully manipulated laser illumination and single-molecule detection strategies.This Perspective highlights recent strides in mSMLM with a focus on fluorophore designs and their integration into mSMLM imaging systems.Particular interests are the accomplishments in simultaneous multiplexed super-resolution imaging,nanoscale polarity and hydrophobicity mapping,and single-molecule orientational imaging.Challenges and prospects in mSMLM are also discussed,which include the development of more vibrant and functional fluorescent probes,the optimization of optical implementation to judiciously utilize the photon budget,and the advancement of imaging analysis and machine learning techniques. 展开更多
关键词 Switchable Fluorophores Fluorescent Probes Super-Resolution Microscopy smlm Spectroscopic Imaging Polarity Mapping Orientational Imaging Fluorescence Lifetime Imaging
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