Open source and highly flexible versatile cross-platform utility designed from the ground up in order to analyze and qualify biological images
Furthermore, using the point-and-click graphical user interface (GUI), users construct an image analysis "pipeline", a sequential series of modules that each perform an image processing function such as illumination correction, object identification (segmentation), and object measurement.
Users mix and match modules and adjust their settings to measure the phenotype of interest. While originally designed for high-throughput images, it is equally appropriate for low-throughput assays as well (i.e., assays of < 100 images).
- Advanced image analysis algorithms
- Streamlined and user friendly interface
- Open source code base
- Computer cluster support
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What's New in This Release:
- Features added:
- Improved display of notifications when user tries to analyze images, but the project configuration does not produce any image sets (Issue #1055)
- Better error messages if File -> Open Recent and other try to open a non-existent file (Issue #668)
- Added a preference that controls the default maximum Java heap size (Issue #787)