Software Features

 

Analysis Models

 

Fluorescence Lifetime Analysis

Fit1 - A+ B₁exp(-t/T)+ B₂IRF(i)

Fit2 - A+B₁exp(-t/T1)+B₂exp(-t/T2)+ B₃IRF(i)

Fit3 - A+B₁exp(-t/T1)+B₂exp(-t/T2) )+B₃exp(-t/T3) + B₄IRF(i)

Fit4 - A+B₁exp(-t/T1)+B₂exp(-t/T2) )+B₃exp(-t/T3) +)+B₄exp(-t/T4)+B₅IRF(i)

Fit1str - A+ B₁exp(-t/T)^b+ B₂IRF(i)

 

With shift iteration

Fit1Shift - A+ B₁exp(-t/T)+ B₂IRF(i)

Fit2Shift - A+B₁exp(-t/T1)+B₂exp(-t/T2)+ B₃IRF(i)

 

Lifetime Distribution analysis

Fit7 - A+B₁F_TH(Tm,d)+ B₂IRF(i). The program fits to a continuous distribution of decay times, characterized by a mean fluorescence lifetime, Tm and a standard deviation d. The top-hat distribution of fluorescence lifetimes is assumed in Fit7.

 

Fit8 - A+B₁F_L(Tm,d)+ B₂IRF(i). The program fits to a continuous distribution of decay times, characterized by a mean fluorescence lifetime, Tm and a Lorentzian fwhm. The Lorentzian distribution of fluorescence lifetimes is assumed in Fit8.

 

Fit9 - A+B₁F_G(Tm,d)+ B₂IRF(i). The program fits to a continuous distribution of decay times, characterized by a mean fluorescence lifetime, Tm and a standard deviation d. Gaussian distribution of fluorescence lifetimes is assumed in Fit9.

 

Extended exponential analysis

Fit11 - A+B₁exp(-t/T1)++B₁₁exp(-t/T11) + B₁₂IRF(i). This is an exponential series fitting program, which keeps the decay times fixed, while fitting to the amplitudes. It offers 11 amplitudes to be fitted and accepts up to 4096 channels of experimental data.

 

Fluorescence Anisotropy Decay Analysis

The calculation of anisotropy decay curves from parallel and crossed or from sum and difference polarization data. The calculated anisotropy decay curves have G-factor correction and automatic error propagation to ensure correct data statistics in the analysis.

Impulse reconvolution analysis (anisotropy decay analysis)

Anisotropy1 - ro exp(-t/Tr)

Anisotropy2 - r₁ exp(-t/Tr₁)+ r₂ exp(-t/Tr₂), ro=r₁+r₂

 

Reconvolution Analysis -  Non- linear least squares curve fitting with full reconvolution facility and Chi Squares (c²) goodness of fit test.

 

F(t) = IRT(t-x)* f(x)dx

 

Where F (t) is the predicted decay curve, I(t) measured decay curve, IRT(t) the instrument response function, and f(t) the theoretical decay law describes the kinetic model. Every Fit has an algorithm to provide a starting estimate.

 

Chi Squares =å[I(t)-F(t)]²/s(t)

 

Where s(t) is the statistical uncertainty of point

 

Weighted Residuals - The weighted residuals are a very important means of demonstrating the goodness-of-fit. They give a visual determination of misfit position. A straightforward relationship exists between c² and the residuals.

In addition to reconvolution analysis the standard analysis includes background correction, iterative shift, and direct linking to the graphics facilities.

 

 

Dynamic Range Data files to 8192 data channels for all Fit analysis programs and 4096 for Anisotropy programs.

 

Scattering light - Optional parameter to allow the fitting of the entire decay curve, from baseline to baseline. This is the strongest method of analysis, particularly for rising edge parameters.

 

Noise Statistics - Poissonian

 

Impulse Response Functions - Calculated form the best - fit parameters this represents the undistorted decay functions. These can be used as deconvoluted data and as constraints in the Level 2 anisotropy analysis.

 

Utilities - Comprehensive file manipulation, printing, and graphic utilities.