CaTune Python Companion
Calcium imaging deconvolution and data preparation -- Python companion package for the CaTune browser tool.
Installation
pip install catune
Quick Start
import catune
# Build a calcium kernel
kernel = catune.build_kernel(tau_rise=0.02, tau_decay=0.4, fs=30.0)
# Get AR(2) coefficients
g1, g2, d, r = catune.tau_to_ar2(tau_rise=0.02, tau_decay=0.4, fs=30.0)
# Compute Lipschitz constant for FISTA step size
L = catune.compute_lipschitz(kernel)
1 maintainer
Metadata
1 maintainer
Release files for catune 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| catune-0.1.0.tar.gz | 13.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| catune-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.1 kB
Release files / catune-0.1.0.tar.gz
| Download URL | catune-0.1.0.tar.gz |
|---|---|
| Size | 13.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
908f8d043ecab6282d3bfdf382c6c25d859ec1c22a20a63cb3497082cb2741ae
|
|
BLAKE2b-256 checksum How to use checksums |
4d1ff01537a2e58b198185d4544bad64edbdeac6e968f9fe0b9f81cc12994b88
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / catune-0.1.0-py3-none-any.whl
| Download URL | catune-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2b9225b23b155467c8ac52a3c08c74f1cb878a291f0c5bc2b6731cad9d103f3f
|
|
BLAKE2b-256 checksum How to use checksums |
c2157dc6e7657d26fa574c9547152fb5ce36d9a274b3c1247329745f26fc7b9d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
