Literature DB >> 19431735

Analysis of fluorescence decay by the nonlinear least squares method.

N Periasamy.   

Abstract

Fluorescence decay deconvolution analysis to fit a multiexponential function by the nonlinear least squares method requires numerical calculation of a convolution integral. A linear approximation of the successive data of the instrument response function is proposed for the computation of the convolution integral. Deconvolution analysis of simulated fluorescence data were carried out to show that the linear approximation method is generally better when one of the lifetimes is comparable to the time interval between data.

Year:  1988        PMID: 19431735      PMCID: PMC1330404          DOI: 10.1016/S0006-3495(88)83032-7

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  1 in total

1.  On the analysis of fluorescence decay kinetics by the method of least-squares.

Authors:  A Grinvald; I Z Steinberg
Journal:  Anal Biochem       Date:  1974-06       Impact factor: 3.365

  1 in total
  6 in total

1.  Complex homogeneous and heterogeneous fluorescence anisotropy decays: enhancing analysis accuracy.

Authors:  Z Bajzer; M C Moncrieffe; I Penzar; F G Prendergast
Journal:  Biophys J       Date:  2001-09       Impact factor: 4.033

2.  Numerical simulation of pile-up distorted time-correlated single photon counting (TCSPC) data.

Authors:  T Salthammer
Journal:  J Fluoresc       Date:  1992-03       Impact factor: 2.217

3.  Analytical approach to the recovery of short fluorescence lifetimes from fluorescence decay curves.

Authors:  Z Bajzer; A Zelić; F G Prendergast
Journal:  Biophys J       Date:  1995-09       Impact factor: 4.033

4.  Energy Transfer in the 2 u (1 D 2) Ion-Pair State of I2 by Inelastic Collisions with Noble Gas Atoms.

Authors:  Shoma Hoshino; Oji Yamamoto; Koichi Tsukiyama
Journal:  ACS Omega       Date:  2022-01-14

5.  Stabilization of parameter estimates from multiexponential decay through extension into higher dimensions.

Authors:  Chuan Bi; Kenneth Fishbein; Mustapha Bouhrara; Richard G Spencer
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.996

6.  Simple and Robust Deep Learning Approach for Fast Fluorescence Lifetime Imaging.

Authors:  Quan Wang; Yahui Li; Dong Xiao; Zhenya Zang; Zi'ao Jiao; Yu Chen; David Day Uei Li
Journal:  Sensors (Basel)       Date:  2022-09-26       Impact factor: 3.847

  6 in total

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