pawFLIM: denoising via adaptive binning for FLIM datasets
Installation
pawFLIM can be installed from PyPI:
pip install pawflim
Usage
import numpy as np
from pawflim import pawflim
data = np.empty((3, *shape), dtype=complex)
data[0] = ... # number of photons
data[1] = ... # n-th fourier coefficient
data[2] = ... # 2n-th fourier coefficient
denoised = pawflim(data, n_sigmas=2)
phasor = denoised[1] / denoised[0]See the notebook in examples for an example with simulated data.
