In this paper, we consider the problem of irregular shapes tracking for multiple extended targets by introducing the Gaussian surface matrix（GSM） into the framework of the random finite set（RFS） theory. The Gaussi...In this paper, we consider the problem of irregular shapes tracking for multiple extended targets by introducing the Gaussian surface matrix（GSM） into the framework of the random finite set（RFS） theory. The Gaussian surface function is constructed first by the measurements, and it is used to define the GSM via a mapping function. We then integrate the GSM with the probability hypothesis density（PHD） filter, the Bayesian recursion formulas of GSM-PHD are derived and the Gaussian mixture implementation is employed to obtain the closed-form solutions. Moreover, the estimated shapes are designed to guide the measurement set sub-partition, which can cope with the problem of the spatially close target tracking. Simulation results show that the proposed algorithm can effectively estimate irregular target shapes and exhibit good robustness in cross extended target tracking.展开更多
荧光寿命显微成像(fluorescence lifetime imaging microscopy,FLIM)技术在细胞微环境传感中具有特异性强、灵敏度高、可定量的优点,被广泛应用于生物医学研究.其中,基于时间相关单光子计数(time-correlated single photon counting,TCS...荧光寿命显微成像(fluorescence lifetime imaging microscopy,FLIM)技术在细胞微环境传感中具有特异性强、灵敏度高、可定量的优点,被广泛应用于生物医学研究.其中,基于时间相关单光子计数(time-correlated single photon counting,TCSPC)进行荧光寿命探测的方法是目前最常用的技术之一,但受成像原理和条件限制,该技术存在数据采集时间较长、成像速度不够快的不足.本文开发一种能对生物样品中任意数量离散的、形状不规则的感兴趣区域(region of interest,ROI)进行快速FLIM成像的技术.该技术利用声光偏转器(acousto-optic deflector,AOD)实现快速灵活的寻址扫描,并通过对ROI形状特征的简单在线分析,实现AOD与TCSPC同步策略的优化及寿命图像的准确重构,对于生物样品中常见的存在多个离散不规则ROI情形,可大幅节省数据采集时间,从而实现对这些ROI的快速FLIM成像.采用该技术,对氯化铵刺激下活细胞中溶酶体探针LysoSensor Green DND-189的荧光寿命变化进行了动态FLIM成像,以监测溶酶体管腔内pH值的实时变化情况.结果表明,该快速FLIM技术可用于动态监测生物样品中微环境的变化,将在活细胞微环境传感中发挥重要作用.展开更多
基金supported by the National Natural Science Foundation of China(6130501761304264+1 种基金61402203)the Natural Science Foundation of Jiangsu Province(BK20130154)
文摘In this paper, we consider the problem of irregular shapes tracking for multiple extended targets by introducing the Gaussian surface matrix（GSM） into the framework of the random finite set（RFS） theory. The Gaussian surface function is constructed first by the measurements, and it is used to define the GSM via a mapping function. We then integrate the GSM with the probability hypothesis density（PHD） filter, the Bayesian recursion formulas of GSM-PHD are derived and the Gaussian mixture implementation is employed to obtain the closed-form solutions. Moreover, the estimated shapes are designed to guide the measurement set sub-partition, which can cope with the problem of the spatially close target tracking. Simulation results show that the proposed algorithm can effectively estimate irregular target shapes and exhibit good robustness in cross extended target tracking.
文摘荧光寿命显微成像(fluorescence lifetime imaging microscopy,FLIM)技术在细胞微环境传感中具有特异性强、灵敏度高、可定量的优点,被广泛应用于生物医学研究.其中,基于时间相关单光子计数(time-correlated single photon counting,TCSPC)进行荧光寿命探测的方法是目前最常用的技术之一,但受成像原理和条件限制,该技术存在数据采集时间较长、成像速度不够快的不足.本文开发一种能对生物样品中任意数量离散的、形状不规则的感兴趣区域(region of interest,ROI)进行快速FLIM成像的技术.该技术利用声光偏转器(acousto-optic deflector,AOD)实现快速灵活的寻址扫描,并通过对ROI形状特征的简单在线分析,实现AOD与TCSPC同步策略的优化及寿命图像的准确重构,对于生物样品中常见的存在多个离散不规则ROI情形,可大幅节省数据采集时间,从而实现对这些ROI的快速FLIM成像.采用该技术,对氯化铵刺激下活细胞中溶酶体探针LysoSensor Green DND-189的荧光寿命变化进行了动态FLIM成像,以监测溶酶体管腔内pH值的实时变化情况.结果表明,该快速FLIM技术可用于动态监测生物样品中微环境的变化,将在活细胞微环境传感中发挥重要作用.
