Galaxy Image Analysis
Galaxy Image Analysis provides workflow-based processing and interpretation of high-throughput and high-content microscopy images to enable systematic analysis of cellular screening and biomedical imaging datasets.
Key Features:
- Workflow-based image processing: Incorporates dedicated image processing and analysis steps into reproducible workflows.
- Galaxy integration: Integrates with the Galaxy platform to execute image analysis workflows.
- KNIME interoperability: Supports workflow systems such as KNIME for pipeline composition and execution.
- Method integration: Integrates existing methods, tools, and routines into cohesive workflows to enhance reusability and interchangeability.
- High-throughput and high-content support: Targets large-scale cellular screening and high-content imaging datasets.
- Complex dataset management: Provides structured environments to manage and combine multiple software tools on complex imaging datasets.
- Comprehensive analysis execution: Enables seamless execution of comprehensive image analyses across combined tools and methods.
Scientific Applications:
- Cellular screening and phenotypic profiling: Supports analysis of high-throughput and high-content cellular screening experiments.
- Microscopy image analysis: Enables microscopy image analysis workflows for diverse research questions.
- Genomics-related imaging studies: Supports image-based analyses relevant to genomics research.
- Biomedical imaging and discovery: Supports biomedical imaging analyses for biological and translational research.
Methodology:
Constructs well-defined workflows by assembling dedicated image processing and analysis steps and integrating existing methods, tools, and routines within Galaxy and KNIME workflow systems.
Topics
Collections
Details
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Linux, Mac
- Added:
- 3/21/2017
- Last Updated:
- 6/4/2025
Operations
Data Inputs & Outputs
Image analysis
Outputs
Publications
Wollmann T, Erfle H, Eils R, Rohr K, Gunkel M. Workflows for microscopy image analysis and cellular phenotyping. Journal of Biotechnology. 2017;261:70-75. doi:10.1016/j.jbiotec.2017.07.019. PMID:28757289.
PMID: 28757289
Funding: - BMBF-funded Heidelberg Center for Human Bioinformatics: 031A537C
Documentation
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