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-0.3.0.2-py3-none-any.whl (27.6 kB view details)

Uploaded Python 3

File details

Details for the file ILEE_CSK-0.3.0.2-py3-none-any.whl.

File metadata

  • Download URL: ILEE_CSK-0.3.0.2-py3-none-any.whl
  • Upload date:
  • Size: 27.6 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-0.3.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b39393e5da66f91be88aef2586799bc9374774d12de3bb290d96661ee5a7bcee
MD5 699dfb65280d302fa5cde4db3defd89f
BLAKE2b-256 be02d24a7f3e028a5aadf03cfdfc6799095a6b7dbfebef911ac4104be19d8422

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