CyLinter
Project description
## An Interactive Image Segmentation Filter for Multiplex Microscopy.
CyLinter is quality control software for identifying and removing cell segmentation instances corrupted by optical and/or image-processing artifacts in multiplex microscopy images. The tool is user-guided and comprises a set of modular and extensible QC modules instantiated in a configurable [Python](https://www.python.org) Class object. Module results are cached to allow for dynamic restarts.
CyLinter development is led by [Greg Baker](https://github.com/gjbaker) at the [Laboratory of Systems Pharmacology](https://hits.harvard.edu/the-program/laboratory-of-systems-pharmacology/about/), Harvard Medical School.
Funding: This work is supported by the following:
NCI grant U2C-CA233262: Pre-cancer Atlases of Cutaneous and Hematologic Origin
NIH grant U54CA225088: Systems Pharmacology of Therapeutic and Adverse Responses to Immune Checkpoint and Small Molecule Drugs
Ludwig Center at Harvard Medical School and the Ludwig Cancer Research Foundation
Instructions: https://labsyspharm.github.io/cylinter/
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 Distribution
Built Distribution
File details
Details for the file cylinter-0.0.43.tar.gz.
File metadata
- Download URL: cylinter-0.0.43.tar.gz
- Upload date:
- Size: 59.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 39e19b0f5eda5c515197b603531ddd08fe53adde53ab719d59b39a5d5f34d9ab |
|
| MD5 | dc6a725d35ac900a63d1cf1d9365ac04 |
|
| BLAKE2b-256 | 3fda9a7d0fbbcce8a0233a97ae8ea682b58e70f8f4ec26607bbf2546f21ae406 |
File details
Details for the file cylinter-0.0.43-py3-none-any.whl.
File metadata
- Download URL: cylinter-0.0.43-py3-none-any.whl
- Upload date:
- Size: 61.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1c61ae5fdd2d58c9688871860c43e0cc2f3186adfabf27368e872c68239fa868 |
|
| MD5 | 41f242536ba4cf57f50a00b4a8831871 |
|
| BLAKE2b-256 | 7fde3562c2169df769014952e6034e3b719928316e856c2e7bd8cd648627e9db |
