SLIM Curve is an exponential curve fitting library used for Fluorescent Lifetime Imaging or FLIM and Spectral Lifetime Imaging or SLIM. It is based on code developed by Paul Barber and his group at the Gray Institute for Radiation Oncology & Biology and used for FLIM functionality in his TRI2 (Time Resolved Imaging) software. It is also used in the LOCI SLIM Plugin project. There are two algorithms used for curve fitting within SLIM Curve: The first is a triple integral method that does a very fast estimate of a single exponential lifetime component. The second is a Levenberg-Marquardt algorithm or LMA that uses an iterative, least-squares-minimization approach to generate a fit. This works with single, double and triple exponential models, as well as stretched exponential. The code is written in C89 compatible C and is threadsafe for fitting multiple pixels concurrently. Several files are provided as wrappers to call this library from Java code: EcfWrapper.c and .h provide a subset of function calls used by SLIM Plugin, these may be invoked directly from Java using JNA. In addition there is a Java CurveFitter project that provides a wrapper to the SLIM Curve code. This invokes the C code using JNI, with loci_curvefitter_SLIMCurveFitter.c and .h. For further details, see: http://loci.wisc.edu/software/slim-curve
grislis/slim-curve
SLIM-Curve: a package for exponential curve fitting of combined spectral lifetime image data
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