API Reference#

Reference for every public module in the pyfli package, organized by subpackage:

  • pyfli.io — Data loader, file readers, saving helpers, and processed-data loaders.

  • pyfli.solver — Least-squares, maximum-likelihood, CPU/GPU, binned, and global FLI fitting routines.

  • pyfli.reconstruction — Rebuilds modeled decay cubes, generate fit statistics maps from fitted parameter maps.

  • pyfli.phasor — Phasor-domain lifetime analysis: a compact CPU/GPU phasor analyzer, acquisition-geometry loci and locus-based lifetime helpers (phasorS).

  • pyfli.analyticalWorkflow — Analytical FLI reconstruction helpers.

  • pyfli.laguerre — Laguerre-basis deconvolution and fitting method.

  • pyfli.simulator — Synthetic FLI/FLIM data generation, hardware noise modeling, calibration, and validation tools.

  • pyfli.analysis — Post-processing, diagnostics, statistical comparison, and result-loading utilities for fitted FLI/FLIM datasets.

  • pyfli.bayes_utils — Bayesian posterior-sampling, inference over decay images.

  • pyfli.irf_deconvolution — Detector-aware IRF deconvolution and joint FLI fitting utilities.

  • pyfli.sp_analysis — Single-pixel camera basis generation, acquisition simulation, and reconstruction solvers.

  • pyfli.data_cc — Array preprocessing: normalization, masking, ROI extraction, and IRF alignment.

  • pyfli.data_vnp — Visualization, normalization, plotting, and mono-/bi-exponential comparison tools.

  • pyfli.data_text — Text display helpers for interactive fitting workflows.

  • pyfli.roi_maker — Interactive ROI creation and threshold-mask tooling.

  • pyfli.log_save — Logging setup and small logging convenience helpers.

The full listing below is generated automatically and includes every module.

pyfli

Top-level public API for PyFLI.