激光诱导叶绿素荧光寿命的测量及其特性分析

提出了一种用于评估植物生长状况及环境监测的激光诱导叶绿素荧光寿命测量方法. 采用波长355 nm的激光作为光源激发叶绿素荧光, 由光电倍增管接收其荧光信号, 由于被测叶绿素荧光衰减函数与激光脉冲、仪器响应函数卷积在一起, 根据它们的特性, 运用时间分辨测量法分别测得叶绿素荧光及其背景信号, 并结合一种新型解卷积算法可分离出真实的叶绿素荧光衰减函数, 从而获取叶绿素的荧光寿命. 测试结果表明: 该方法能够实现叶绿素荧光寿命的高精度实时监测, 对不同叶绿素含量的溶液荧光寿命进行了测试, 证明叶绿素含量与其荧光寿命具有相关性, 并且拟合了叶绿素含量与荧光寿命的标定曲线. 关键词： 荧光寿命 激光诱导荧光 时间分辨测量法 叶绿素含量     

谱域光学相干层析系统中基于解卷积方法的像质优化

谱域光学相干层析（spectral domain optical coherence tomography, 简记为SD-OCT）系统的轴向点扩散函数（point spread function, 简记为PSF）并不具备空不变特性,无法直接应用于解卷积运算.为实现SD-OCT系统成像质量基于解卷积算法的优化,本文采用数值校正后的轴向扫描信号和轴向有效PSF来实施基于Lucy-Richardson算法的解卷积运算,进而实现了SD-OCT系统中图像质量尤其是轴向分辨率的改善.本文理论分析了SD-OCT系统中导致轴向有效PSF随成像深度增大而下降和图像模糊的因素,阐述了利用解卷积算法实现图像质量优化的过程,基于建立的SD-OCT系统实施了不同成像深度位置处PSF的标定,并利用离散轴向位置处PSF的峰值拟合了轴向有效PSF的调制函数.利用调制函数对所有轴向扫描信号进行数值校正,然后根据轴向有效PSF进行解卷积算法.典型样品的解卷积图像重建结果表明,提出的解卷积方法能有效提高系统的轴向分辨率,同时有效抑制系统灵敏度随成像深度增大而下降的趋势. 关键词： 谱域光学相干层析 Lucy-Richardson解卷积 有效点扩散函数     

谱域光学相干层析系统中基于解卷积方法的像质优化

谱域光学相干层析（spectral domain optical coherence tomography, 简记为SD-OCT）系统的轴向点扩散函数（point spread function, 简记为PSF）并不具备空不变特性,无法直接应用于解卷积运算.为实现SD-OCT系统成像质量基于解卷积算法的优化,本文采用数值校正后的轴向扫描信号和轴向有效PSF来实施基于Lucy-Richardson算法的解卷积运算,进而实现了SD-OCT系统中图像质量尤其是轴向分辨率的改善.本文理论分析了SD-OCT系统中导致轴向有效PSF随成像深度增大而下降和图像模糊的因素,阐述了利用解卷积算法实现图像质量优化的过程,基于建立的SD-OCT系统实施了不同成像深度位置处PSF的标定,并利用离散轴向位置处PSF的峰值拟合了轴向有效PSF的调制函数.利用调制函数对所有轴向扫描信号进行数值校正,然后根据轴向有效PSF进行解卷积算法.典型样品的解卷积图像重建结果表明,提出的解卷积方法能有效提高系统的轴向分辨率,同时有效抑制系统灵敏度随成像深度增大而下降的趋势.     

基于不同泵浦波形的荧光寿命测量

该文从理论上分析了不同泵浦波形下的荧光衰减规律,提出了一种在不同泵浦波形下测量荧光寿命的新方法——双脉冲探测法,即利用探测泵浦脉冲与荧光衰减脉冲的方法测量荧光寿命。通过对样品钕玻璃及Cr:ZnSe晶体的荧光寿命测量表明:利用该方法在不同泵浦波形下能够实现可见及近红外到中红外激光介质的荧光寿命测量。因此,利用该测量方法能够方便、有效的避免通过解卷积求样品荧光寿命的繁琐过程,对测量激光介质在不同泵浦波形下的荧光寿命具有参考价值。     

测量分子荧光寿命的一种新方法

分子的荧光寿命,通常可用脉冲荧光法进行测量。若荧光寿命接近或小于仪器响应时间时,则观测到的荧光衰变曲线是真实的荧光衰变曲线与仪器响应函数卷积的结果。为此须采用解卷积方法来求得荧光寿命。解卷积运算不仅其计算过程繁重,而且计算结果受检测仪器响应函数的准确度的影响很大。 本工作提出一种新的测量荧光寿命的方法。该方法是根据观测的荧光衰变曲线的峰值所对应的时间tmax随荧光寿命的增大而单调地变大的关系,选用一些已知寿命的荧光物质作为标准样品,测量标准样品的tmax～τ关系曲线,然后测量待测样品的tmax,据此求出荧光寿命τ。这种方法简便、准确可毋须进行解卷积运算。     

用稳态和时间分辨荧光光谱研究乙醇－水分子团簇的可能类型

研究了紫外光照射乙醇－水混合溶液的稳态和时间分辨荧光光谱.通过检测其荧光光谱和激发光谱,得到了稳态发射光谱的三个荧光峰,峰值分别位于290 nm、305 nm、330 nm,相应的最佳激励光分别为265 nm, 280 nm 和236 nm.在荧光光谱峰值波长处分别监测其荧光强度随时间的衰变过程,将获得的荧光衰减动力学曲线采用指数拟合并进行解卷积处理获得不同荧光光子的寿命值.乙醇－水溶液稳态光谱的特点和三个不同的荧光寿命都表明了溶液中含有三个不同的生色团,分析认为乙醇和水分子间通过氢键作用形成了不同结构的团簇分子.     

一般变换下的Jacobi椭圆函数展开法及应用

将在行波变换下的Jacobi椭圆函数展开法推广到范围非常广泛的一般函数变换下进行，利用这一方法求得了一些非线性发展方程的精确周期解，这些解包括了在行波变换下所求得的周期解. 证明了一些非线性发展方程的周期解一定是行波解. 关键词： 非线性发展方程 周期解 行波解 Jacobi椭圆函数     

引入泽尼克多项式的极大似然盲解卷积算法初值的优化选取

为提高图像盲复原处理效果,提出了经验法、拟合高斯点扩散函数法,以及符合Kolmogorov谱函数的初值选取方法等三种初值选取方法。引入泽尼克多项式参量化表示点扩散函数,应用极大似然迭代盲解卷积算法对模拟模糊图以及木星观测图进行了复原处理。计算结果表明,符合Kolmogorov谱函数分布的初值方法以及拟合高斯点扩散函数方法得到的图像复原结果较好。     

等离子体四波混频精确解

给出了均匀磁化等离子体介质中的简并与近简并的建党波四波混频形成反射光栅位形时的普适非线性耦俣方程组，在不作无衰减抽运近似的情况下，得到了任意复耦合系数时的方程组的精确解，其解不仅可以推广到各种等离子体形态，而且可以推广到光致折射材料中去。     

非线性耦合标量场方程的新双周期解(Ⅱ)

基于具有双周期解的常微分方程，提出了一种构造非线性微分方程双周期解的新方法，在计算机符号软件帮助下方法可实现机械化.应用此方法于非线性耦合标量场方程，得到了该方程的大量的新精确解. 关键词： 非线性耦合标量场方程 双周期解 精确解     

皮秒时间相关单光子计数光谱仪的核心技术

研制的皮秒时间相关单光子计数光谱仪利用时间相关单光子计数(TCSPC)技术,采用了具有分光时间弥散动态和静态补偿特性的光栅分光系统,解决了传统分光系统的光信号时间弥散问题;使用多道谱分析仪开设时间窗口,测量荧光衰减曲线和时间分辨光谱;用荧光衰减曲线的多指数拟合方法处理数据。给出了光谱仪的原理和总体方案,介绍了系统的集成和工作流程。通过各种标准样品的试验数据分析和对比,得出系统所测荧光寿命可达到ps量级,而且具有最高的灵敏度——单光子计数,时间分辨率达到8．8ps。     

Mean fluorescence lifetime and its error

Mean excited-state lifetime is one of the fundamental fluorescence characteristics and enters as an important parameter into numerous calculations characterizing molecular interactions, such as e.g. FRET or fluorescence quenching. Our experiments demonstrated that the intensity-weighted mean fluorescence lifetime is very robust characteristic, in contrast to the amplitude-weighted one, which value is dependent on the data quality and particularly on the used fitting model. For the first time, we also report the procedure for the error estimation for both the intensity- and amplitude-weighted mean fluorescence lifetimes. Furthermore, we present a method for estimation of the mean fluorescence lifetime directly from the fluorescence-decay curve recorded by TCSPC (Time-Correlated Single-Photon Counting) method. For its simplicity and low computational demands, it could be a useful tool in the high-throughput applications, such as FACS, FLIM-FRET or HPLC detectors.     

单光子调制频谱用于量子点荧光寿命动力学的研究

本文开展了基于单光子调制频谱测量量子点荧光寿命动力学特性的研究.在脉冲激光激发下,对探测到的量子点单光子荧光信号进行频谱分析以获得荧光调制频谱,研究发现特征频谱信号幅值与荧光寿命之间存在确定的非线性对应关系.这种单光子调制频谱方法能有效消除背景噪声和单光子探测器暗计数的影响,用于分析量子点荧光寿命动力学特性时在准确度以及时间分辨率方面都较目前普遍采用的荧光衰减曲线寿命拟合方法呈现出明显优势:当涨落误差为5%时,寿命测量准确度提高了一个数量级;当涨落误差和偏离误差均为5%时,对动力学测量效率以及时间分辨率提高了四倍以上.因此单光子调制频谱可以作为获取量子点在短时间尺度内激发态动力学信息的一种有效技术手段.     

Subnanosecond fluorescence spectroscopy of human serum albumin as a method to estimate the efficiency of the depression therapy

The efficiency of the therapy of psychiatric diseases is estimated using the fluorescence measurements of the conformational changes of human serum albumin in the course of medical treatment. The fluorescence decay curves of the CAPIDAN probe (N-carboxyphenylimide of the dimethylaminonaphthalic acid) in the blood serum are measured. The probe is specifically bound to the albumin drug binding sites and exhibits fluorescence as a reporter ligand. A variation in the conformation of the albumin molecule substantially affects the CAPIDAN fluorescence decay curve on the subnanosecond time scale. A subnanosecond pulsed laser or a Pico-Quant LED excitation source and a fast photon detector with a time resolution of about 50 ps are used for the kinetic measurements. The blood sera of ten patients suffering from depression and treated at the Institute of Psychiatry were preliminary clinically tested. Blood for analysis was taken from each patient prior to the treatment and on the third week of treatment. For ten patients, the analysis of the fluorescence decay curves of the probe in the blood serum using the three-exponential fitting shows that the difference between the amplitudes of the decay function corresponding to the long-lived (9 ns) fluorescence of the probe prior to and after the therapeutic procedure reliably differs from zero at a significance level of 1% (p < 0.01).     

Adaptive total linear least square method for quantification of mean transit time in brain perfusion MRI

Absolute quantification of cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT) are of great relevance for clinical applications. One of the widely used methods for quantification of these parameters is gamma-variate fitting. Traditional nonlinear regression methods for gamma-variate fitting are inaccurate and computationally demanding. In this study, we developed an adaptive total least square method (ATSSL) to fit a gamma-variate function to the delayed concentration-time course. For each concentration-time curve, the beginning and ending time point of the curve are adaptively determined online. After the curves were fitted, a robust method for automatically determination of arterial input function (AIF) from whole and region of interest (ROI) was developed. Using the obtained AIF and fitted gamma-variate concentration-time curve, the MTT, CBV, and CBF were calculated by utilizing singular value decomposition algorithm. Computer simulations show that the suggested method is adaptive, reliable, and insensitive to noise. Comparison with the traditional nonlinear regression method indicated that the presented method is more accurate and faster to determine the CBV, CBF and MTT.     

A novel compression algorithm for infrared thermal image sequence based on K-means method

High resolution in space and time is becoming the new trend of thermographic inspection of equipments, therefore, the development of a fast and precise processing and data store technique of high resolution thermal image should be well studied. This article will propose a novel global compression algorithm, which will provide an effective way to improve the precision and processing speed of thermal image data. This new algorithm is based on the decay of the temperature of thermograph and the feature of thermal image morphology. Firstly, it will sort the data in space according to K-means method. Then it will employ classic fitting calculation to fit all the typical temperature decay curves. At last, it will use the fitting parameters of the curves as the parameters for compression and reconstruction of thermal image sequence to achieve the method for which the thermal image sequence can be compressed in space and time simultaneously. To validate the proposed new algorithm, the authors used two embedded defective specimens made of different materials to do the experiment. The results show that the proposed infrared thermal image sequence compression processing algorithm is an effective solution with high speed and high precision. Compared to the conventional method, the global compression algorithm is not only noise resistant but also can improve the computing speed in hundreds of times.     

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

Frequency domain (FD) fluorescence lifetime data was collected for a series of 20 crude petroleum oils using a 405 nm excitation source and over a spectral range of ~426 to ~650 nm. Average fluorescence lifetimes were calculated using three different models: discrete multi-exponential, Gaussian distribution, and Lorentzian distribution. Fitting the data to extract accurate average lifetimes using the various models proved easier and less time consuming for the FD data than with Time Correlated Single Photon Counting (TCSPC) methods however the analysis of confidence intervals to the computed average lifetimes proved cumbersome for both methods. The uncertainty in the average lifetime was generally larger for the discrete lifetime multi-exponential model when compared to the distribution-based models. For the lifetime distributions, the data from the light crude oils with long lifetimes generally fit to a single decay term. Heavier oils with shorter lifetimes required multiple decay terms. The actual value for the average lifetime is more dependant on the specific fitting model employed than the data acquisition method used. Correlations between average fluorescence lifetimes and physical and chemical parameters of the crude oils were made with a view to developing a quantitative model for predicting the gross chemical composition of crude oils. It was found that there was no significant benefit gained by using FD over TCSPC other than more rapid data analysis in the FD case. For the FD data the Gaussian distribution model for fluorescence lifetime gave the best correlations with chemical composition allowing a qualitative correlation to some bulk oil parameters.

Diffusion-influenced fluorescence quenching dynamics in one to three dimensions

The fluorescence decay curves obtained from diffusion-influenced quenching in various spatial dimensions are discussed. The two-dimensional quenching has, because of intractable fitting functions, previously been dealt with only in the completely diffusion-controlled case (corresponding to the Smoluchowski boundary condition). In this paper, an approximation for the two-dimensional (2D)-quenching behavior with the Collins-Kimball boundary condition is presented. The nonlinear least-squares method has been used to analyze simulated decay data. The consequences the choice of an incorrect model has on the final results as well as the possibility to discriminate between different dimensionalities are investigated. Also, some inherent properties of the fitting functions are studied.     

DOUBLESLICING: a non-iterative single profile multi-exponential curve resolution procedure. Application to time-domain NMR transverse relaxation data

A new non-iterative curve resolution technique for resolving single decay profiles is proposed. The new technique, called DoubleSlicing, is based on the Decra (Direct Exponential Curve Resolution Algorithm) principle. While the original Decra was designed to resolve several decay curves simultaneously and thus fitting common pure exponentials, DoubleSlicing can resolve single decay profiles by a simple double data transformation followed by an analytical and unique three-way decomposition. The new approach is successfully demonstrated on experimental NMR CPMG relaxation data, measured on combinations of unmixed paramagnetic CuSO(4) solutions. Decay signals of the water component were acquired following an innovative experimental design that ensured no interaction between the components present in each sample under observation. DoubleSlicing proved to be accurate in estimating relaxation times differing in one order of magnitude (range: 19.6-159.4ms). Its performance was comparable to discrete exponential fitting with the advantage of being much faster - in terms of computation time, DoubleSlicing outperformed exponential fitting by a factor of four.     

Data point selection for weighted least square fitting of cavity decay time constant

For the accurate extraction of cavity decay time, a selection of data points is supplemented to the weighted least square method. We derive the expected precision, accuracy and computation cost of this improved method, and examine these performances by simulation. By comparing this method with the nonlinear least square fitting(NLSF) method and the linear regression of the sum(LRS) method in derivations and simulations, we find that this method can achieve the same or even better precision, comparable accuracy, and lower computation cost. We test this method by experimental decay signals. The results are in agreement with the ones obtained from the nonlinear least square fitting method.