Ca2Spike
Deconvolve calcium imaging data to spikes. A wrapper around Chenkov and McColgan so it’s easier to use their model and weights. Assuming you have a imageJ roi measurement csv file, and a known sample_rate of your two photon recording:
import numpy as np
from ca2spike import deconvolve
calcium_data = np.genfromtxt(file_path, delimiter=',')[1:, 1::4].T
spike_data, timestamps, new_sample_rate = deconvolve(data, sample_rate)
Here the new sample rate is just a rounded int, coz otherwise your analysis experience will suck.
Metadata
Release files for ca2spike 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| ca2spike-0.1.3.tar.gz | 107.7 kB | Details |
Release files / ca2spike-0.1.3.tar.gz
| Download URL | ca2spike-0.1.3.tar.gz |
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| Size | 107.7 kB |
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