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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ca2spike-0.1.3.tar.gz
(107.7 kB
view details)
File details
Details for the file ca2spike-0.1.3.tar.gz.
File metadata
- Download URL: ca2spike-0.1.3.tar.gz
- Upload date:
- Size: 107.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9875e4eff9f4556559f480e9b0bdb1904bee0ad991c0acd912b2e9d6daca0b15
|
|
| MD5 |
d4c57c14e671eea8c44931b00df5e652
|
|
| BLAKE2b-256 |
c241cbf77db3fc2dd26e129ca9a6e3142f90cbc94221a5e5ce5260032cc3801d
|