Skip to main content

tissue-flow-analysis

Project description

modelTissueFlow

This is a program for analyzing time series movies for computing tissue velocity (PIV) and other signals (myosin)

Application: https://www.biorxiv.org/content/10.1101/2022.07.13.499934v1

Note

Testing and contributing is very welcome, especially if you can contribute with new algorithms and features.

Installing

Use PyPI (https://pypi.org/project/modelTissueFlow/):

pip install modelTissueFlow

To build from source

Option 1: Download the package from the Github:https://github.com/HiBandan/modelTissueFlow/archive/refs/heads/main.zip

python setup.py install 

Option 2: Clone from terminal:

git clone https://github.com/HiBandan/modelTissueFlow.git

python setup.py install 

Testing the package

An example of use of this package can be found in the folder: example (https://github.com/HiBandan/modelTissueFlow)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

modelTissueFlow-1.8.tar.gz (55.1 kB view details)

Uploaded Source

File details

Details for the file modelTissueFlow-1.8.tar.gz.

File metadata

  • Download URL: modelTissueFlow-1.8.tar.gz
  • Upload date:
  • Size: 55.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.5

File hashes

Hashes for modelTissueFlow-1.8.tar.gz
Algorithm Hash digest
SHA256 877c251186daae8d5f0174d806e4c266ed18175eeb46e072aabbdd63854a87b9
MD5 849e27d57a922cea16125eb66a604baf
BLAKE2b-256 eb86ca4510bbf66a08ff037af70e65de81cbda1746156c13c99f1360c653e194

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page