Autoregressive-Model-Based Fluorescence-Lifetime Measurements by Phase-Modulation Fluorometry Using a Pulsed-Excitation Light Source and a High-Gain Photomultiplier Tube

2009 ◽  
Vol 63 (11) ◽  
pp. 1256-1261 ◽  
Author(s):  
Tetsuo Iwata ◽  
Ritsuki Ito ◽  
Yasuhiro Mizutani ◽  
Tsutomu Araki

We propose a novel method for measuring fluorescence lifetimes by use of a pulsed-excitation light source and an ordinary or a high-gain photomultiplier tube (PMT) with a high-load resistor. In order to obtain the values of fluorescence lifetimes, we adopt a normal data-processing procedure used in phase-modulation fluorometry. We apply an autoregressive (AR)-model-based data-analysis technique to fluorescence- and reference-response time-series data obtained from the PMT in order to derive plural values of phase differences at a repetition frequency of the pulsed-excitation light source and its harmonic ones. The connection of the high-load resistor enhances sensitivity in signal detection in a certain condition. Introduction of the AR-model-based data-analysis technique improves precision in estimating the values of fluorescence lifetimes. Depending on the value of the load resistor and that of the repetition frequency, plural values of fluorescence lifetimes are obtained at one time by utilizing the phase information of harmonic frequencies. Because the proposed measurement system is simple to construct, it might be effective when we need to know approximate values of fluorescence lifetimes readily, such as in the field of biochemistry for a screening purpose.

2007 ◽  
Vol 61 (9) ◽  
pp. 950-955 ◽  
Author(s):  
Tetsuo Iwata ◽  
Akitaka Muneshige ◽  
Tsutomu Araki

In order to derive plural values of fluorescence lifetimes simultaneously from a multi-component sample, we formulate a mathematical method for analyzing data obtained from a frequency-multiplexed phase-modulation fluorometer (FM-PMF) using an autoregressive (AR) model. Various parameter settings necessary for performing accurate data analysis based on the AR model are studied through numerical simulations. Measurement results of fluorescence lifetimes of real samples, 10 ppm quinine sulfate in 0.1 N H2SO4, 10 ppm rhodamine 6G in ethanol, and their mixture with a volume ratio of 1:1, demonstrate that the proposed method works quite well.


2012 ◽  
Vol 19 (4) ◽  
pp. 222-227 ◽  
Author(s):  
Takahiko Mizuno ◽  
Yasuhiro Mizutani ◽  
Tetsuo Iwata

2019 ◽  
Vol 37 (21) ◽  
pp. 5370-5379 ◽  
Author(s):  
Yuchen Shao ◽  
Xiuyou Han ◽  
Qing Ye ◽  
Boqin Zhu ◽  
Yitang Dai ◽  
...  

2013 ◽  
Vol 706-708 ◽  
pp. 1923-1927 ◽  
Author(s):  
Li Zhao ◽  
Yang He

This paper uses three common AR model power spectrum estimation algorithms which are the Yule-Walker method, the burg method and the improved covariance method. Taking Matlab as a tool, the corresponding algorithms are used to carry out the power spectrum estimation of motor imagery EEG, the relationships and distinctions between the spectrum charts are compared in order to find the relatively appropriate algorithm for analyzing the EEG, which aims at providing a theoretical guidance for processing the motor imagery EEG and laying a foundation for further research.


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