Published November 9, 2022
| Version v1.2.0
Software
Open
ModularImageAnalysis (MIA)
Description
- Added headless mode to allow workflows to be run without the need for opening a graphical instance of Fiji. This enables running MIA on terminal-only systems such as compute clusters. For more information see the guide at https://mianalysis.github.io/mia/guides/runningheadless.html
- The "MIA (headless)" menu option can also be used to run existing workflows with a minimal graphical interface and provides a method for launching workflows from ImageJ macros
- Added modules to load and save objects to ImageJ .roi and .zip (zipped ROI) files
- Included StarDistDetection module from mia-deeplearning repository. This module will only appear if StarDist update site is enabled
- Projection axis cannow be specified in ProjectImage. This module also switched to primarily using ImgLib2. ProjectImage also outputs average projections as 32-bit
- Updated handling of modules with incompatible dependencies. Now such modules aren't flagged at launch of MIA; instead, inactive modules are listed in both "Unavailable modules" section of "Add module" menu and via "Help > Unavailable modules" menu. Missing modules are still flagged when loading workflows that call for them
- Minor website formatting updates and removal of "html" from URLs
- Added many "MethodSource" tests for image processing modules. These are needed in the transition of these modules to ImgLib2
- General bugfixes
Files
mianalysis/mia-v1.2.0.zip
Files
(84.6 MB)
| Name | Size | Download all |
|---|---|---|
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md5:5815c279d3b8a0d66c72a350af75794f
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84.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/mianalysis/mia/tree/v1.2.0 (URL)