Quickstart#
This example loads a decay dataset together with its instrument response function (IRF), the starting point for any pyfli analysis.
Even though the package is installed as pyfli-lib, you import it as pyfli in your scripts:
from pyfli import DataOperations
loader = DataOperations(
data_path="experimental_data.sdt",
irf_path="instrument_data.txt",
bg_path="background_data.tif",
mask_path="background_data.png",
)
decay_data = loader.load_data()
irf_data = loader.load_irf()
DataOperations auto-detects the acquisition format from the file extension (.sdt for SPCImage/TCSPC, among others), and applies background subtraction using bg_path by default.
Next steps#
Browse the API Reference for the full set of loaders, analytical fitting methods (NLSF, MLE, RLD, Laguerre), and the phasor-analysis toolkit.
See Citation if you use
pyfliin published research.