CyLinter
Project description
![alt text](https://github.com/labsyspharm/cylinter/blob/master/docs/logo3.png?raw=true)
## An Interactive Image Segmentation Filter for Multiplex Microscopy.
CyLinter is quality control software for identifying and removing cell segmentation instances in microscopy images corrupted by optical and/or image-processing artifacts. 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 and iterative QC strategies.
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/
Project details
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
Hashes for cylinter-0.0.24-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e7d9e73a28895ee1346999a0bd7228cb9fbc514e7c3673443451e87b7c2c3813 |
|
MD5 | 2c06455e3acf01bd822a38183df14602 |
|
BLAKE2b-256 | 969d272cbda445d65526581ca5bbcc5e97684f4f71dbffb42189a7e560ab60d6 |