A high-performance eukaryotic 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:
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file ILEE_CSK-0.1.3.2-py3-none-any.whl.
File metadata
- Download URL: ILEE_CSK-0.1.3.2-py3-none-any.whl
- Upload date:
- Size: 25.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 487a592dc44b32788e9bea3c47905ae204556b22953c33e92cfd84a6094f7f78 |
|
| MD5 | 05364ba1c1a381da03c5b870e2b57965 |
|
| BLAKE2b-256 | cee3777eac101e0783f3e0d9279c9c699e0e25c1c1f5454f16857c144a0aa819 |
