Skip to main content

A high-performance cytoskeleton image analysis platform

Project description

ILEE_CSK is a Python library that provides a platform for unguided and automated quantitative analysis of cytoskeletal images at high accuracy and free from bias, supporting both 2D and native 3D data structure. ILEE means Implicit Laplacian of Enhanced Edge, which is a local thresholding algorithm that detects and utilize the edge of cytoskeleton filaments as the local baseline for super-fine segmentation. Our robust algorithm can compute tens of indices reflecting diverse quantitative features of eukaryotic cytoskeleton for biological interpretation, which include (de/)polymerization, bundling, severing, branching, and local directionality.


Github:

https://github.com/phylars/ILEE_CSK

Documentation:

https://phylars.github.io/ILEE_CSK/

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ILEE_CSK-0.2.2.0-py3-none-any.whl (27.0 kB view details)

Uploaded Python 3

File details

Details for the file ILEE_CSK-0.2.2.0-py3-none-any.whl.

File metadata

  • Download URL: ILEE_CSK-0.2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 27.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for ILEE_CSK-0.2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 14637ca5ba1b74f94733d238f784aa02c634faf99a4ac20b74b0ac0e229c4de9
MD5 d38f4861d67d5503786ba292c840dd2f
BLAKE2b-256 248f8b494fc770c179feee35916576888b1ad074e14a16ffc39c902e663bdbcb

See more details on using hashes here.

Supported by

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