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 cleans image-derived, single-cell data by identifying and removing cell segmentation instances in multiplexed whole tissue and tissue microarray images corrupted by optical and/or image preprocessing artifacts. The tool comprises a set of user-guided, quality control (QC) modules instantiated in a configurable [Python](https://www.python.org) Class. The results of each module are cached to allow for dynamic restarts and iterative QC strategies.
CyLinter development is led by [Greg Baker](https://github.com/gjbaker) at [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:
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-0.0.18-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e129592c1bd63e3e6538ca833cb05a20e571000dbe1a72954b5107f43fc7ea4e |
|
MD5 | efa478ea4572ef1b3a6f02d6bda6e94f |
|
BLAKE2b-256 | d707d85321e3c5a7ad7be6772b0051981a181ce230fabc48d1d036e5d8a3bec1 |