Icy Image Processing
Icy Image Processing: Open-Source Software for Bioimage Analysis
Icy is an open-source image processing software for bioimage analysis. It allows visualization, segmentation and quantification of large image sets from microscopy. Icy has an intuitive interface and workflow for processing 2D/3D/4D images.
What is Icy Image Processing?
Icy is an open-source platform for bioimage analysis focused on user experience and collaboration. It allows researchers to visualize, annotate, segment and quantify large microscopy images and datasets. Icy features an intuitive graphical user interface to build analysis workflows and share them with colleagues.
Key features include:
- Support for most image formats used in bioimaging (TIFF, PNG, JPEG, RAW...)
- 2D, 3D and 4D image visualization
- Manual and semi-automated segmentation tools
- Multi-channel colocalization and signal distribution analysis
- Background subtraction and enhancement filters
- Cell tracking and lineage tree diagrams
- Built-in protocols and workflows
- Macro editor to customize and automate analyses
- Plugin architecture to extend functionality
- Export data and images for publications
- Collaborative tools to share workflows
Icy is implemented in Java and available for Windows, Mac and Linux. It can handle large multi-dimensional images while providing state-of-the-art visualization and analytics. The open architecture facilitates advanced analysis protocol development and collaboration.
Icy Image Processing Features
Features
- Visualization of 2D, 3D and 4D images
- Image processing tools for filtering, segmentation and analysis
- Support for many image formats including TIFF, PNG, JPEG, BMP
- Plugin architecture to extend functionality
- Macro recorder to automate workflows
- ROI and point selections
- 3D rendering
Pricing
- Open Source
Pros
Cons
Official Links
Reviews & Ratings
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