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November 21, 2016 06:26
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Save bmorris3/04f18354832f681a4a7a511f601a16dc to your computer and use it in GitHub Desktop.
Save reconstructions to an HDF5 file, for opening with the Fiji HDF5 viewer.
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from shampoo.reconstruction import Hologram | |
import numpy as np | |
import h5py | |
# Load the USAF test target hologram | |
h = Hologram.from_tif('data/USAF_test.tif') | |
# Make lists for holding the phase and intensity of each reconstruction | |
phases = [] | |
intensities = [] | |
# Reconstruct at three propagation distances | |
propagation_distances = [0.03585, 0.03685, 0.03785] | |
for d in propagation_distances: | |
wave = h.reconstruct(d) | |
phases.append(wave.phase) | |
intensities.append(wave.intensity) | |
# Save the output to an HDF5 file, for this hologram, taken at the zeroth time, "t0" | |
hdf5_file_path = 'example.hdf5' | |
f = h5py.File(hdf5_file_path, 'w') | |
t0 = f.create_group("t0") | |
# Save the raw hologram, the intensities, and the phases, using LZF compression | |
phase_dataset = t0.create_dataset('phase', data=np.array(phases), compression='lzf') | |
intensity_dataset = t0.create_dataset('intensity', data=np.array(intensities), compression='lzf') | |
hologram_dataset = t0.create_dataset('hologram', data=np.array([h.hologram]), compression='lzf') | |
# Close the file stream | |
f.close() |
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