PyJAMAS
PyJAMAS performs high-resolution image analysis and visualization for processing and quantitative analysis of scientific image data.
Key Features:
- High-Resolution Image Analysis: Supports detailed image analysis and processing of high-resolution scientific images.
- Data Visualization: Provides visualization capabilities for quantitative outputs from image analysis.
- Compatibility: Supports multiple data formats and computing platforms.
Scientific Applications:
- Cell Biology Research: Applicable to detailed image analysis required for cell biology studies.
- Other Scientific Fields: Applicable in other scientific areas that require precise image processing and visualization.
Methodology:
No computational methods, algorithms, or processing steps were specified in the provided description.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 12/15/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Fernandez-Gonzalez R, Balaghi N, Wang K, Hawkins R, Rothenberg K, McFaul C, Schimmer C, Ly M, do Carmo AM, Scepanovic G, Erdemci-Tandogan G, Castle V. PyJAMAS: open-source, multimodal segmentation and analysis of microscopy images. Bioinformatics. 2021;38(2):594-596. doi:10.1093/bioinformatics/btab589. PMID:34390579. PMCID:PMC8722751.
PMID: 34390579
PMCID: PMC8722751
Funding: - Natural Sciences and Engineering Research Council of Canada: 418438-13
- Canada Foundation for Innovation: 30279
- Government of Ontario: ER14-10-170
- Canadian Institutes of Health Research: 156279
Documentation
User manual', 'General
http://pyjamas.readthedocs.ioLinks
Issue tracker
https://bitbucket.org/rfg_lab/pyjamas/issues