ImageJ2
ImageJ2 provides extensible Java-based image processing and analysis capabilities for quantitative analysis of scientific images.
Key Features:
- Java-based platform: Provides a Java-based environment that enables development and execution of analysis extensions.
- Open architecture: Implements an extensible architecture that supports integration of external analytical components.
- Plugin support: Enables user-written plugins for image acquisition, processing, and analysis.
- Custom acquisition and processing: Supports development of custom acquisition, analysis, and processing plugins for diverse imaging workflows.
- Automation capabilities: Facilitates automation of image-processing workflows, including automation in hematology systems.
Scientific Applications:
- Three-dimensional live-cell imaging: Applied to processing and analysis of 3D live-cell microscopy datasets.
- Radiological image processing: Used for processing and analysis of radiological images.
- Comparative imaging: Enables comparisons across multiple imaging systems through custom analysis plugins.
- Quantitative image analysis: Supports workflows from basic image enhancement to complex quantitative measurements.
- Hematology automation: Employed in automation tasks within hematology systems.
Methodology:
Development and execution of user-written Java plugins for image acquisition, processing, and analysis, compiled using a Java compiler.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nature Methods. 2012;9(7):671-675. doi:10.1038/nmeth.2089. PMID:22930834. PMCID:PMC5554542.
Documentation
Links
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