pyfli.solver

Provide solver tools for PyFLI least-squares, maximum-likelihood, CPU, GPU, binned, and global FLI fitting routines.

This module belongs to pyfli.solver and is part of PyFLI least-squares, maximum- likelihood, CPU, GPU, binned, and global FLI fitting routines. The module primarily re- exports package symbols or constants for downstream imports.

Modules

base_fitter	Implement the shared least-squares FLI fitter used by CPU, GPU, and model-comparison workflows.
base_static	Provide static initial-guess, bounds, convolution, and parameter-resolution helpers for solvers.
binned_fitter	Bin image cubes spatially and fit the binned FLI data.
comparison	Compare least-squares and maximum-likelihood fitters across selected pixels and datasets.
cpu_processor	Process FLI image cubes on CPU with parallel pixel-level fitting.
forward_model	Evaluate exponential decay kernels and convolved NumPy forward models.
global_fitter	Fit cluster-level super-pixels and stitch global FLI fit results back into image maps.
gpu_processor	Fit FLI image cubes with Torch-based GPU optimization and optional CRLB estimates.
mle_fitter	Extend the base fitter with Poisson and chi-square maximum-likelihood estimators.
shared_metrics	Centralize tau ordering, lifetime summaries, FRET efficiency, and fit-quality metrics.