ModularImageAnalysis (MIA)
Description
Introduces variable parameters. Numeric and text parameters can be injected with expressions that will be evaluated at runtime. With these, it's possible to use values in the workspace as parameters. Currently, the following expressions are supported:
Type | Expression | Example ---- | ----------- | -------- Metadata | Me{[metadata name]} | Me{Filepath} Image measurements | Im{[image name|measurement name]} | Im{RedChannel|DIMENSIONS // WIDTH} Object measurement statistics | Os{[objects name|measurement name|statistic]} | Os{Nuclei|SHAPE // N_VOXELS|MEAN} Object counts | Oc{[objects name]} | Oc{Nuclei}
Added ability to save and load selections while running ManuallyIdentifyObjects. This should help prevent against total loss of manually-selected regions. Selections are saved to ImageJ ROI .zip file by going to File > Save objects and can be loaded back in by going to File > Load objects.
- Second image in ImageCalculator can be weighted differently for average pixel calculations. This allows one channel to appear stronger when displayed as composite.
- SetDisplayRange can now use an external image to determine intensity ranges (this can provide a speed increase when using "Precise" method)
- Enabled theme selection by going to "Edit > Preferences" from "Editing View"
- Improved Image class abstraction so future inclusion of other image storage methods (e.g. ImgLib2) should be easier.
- Renamed module "WekaProbabilityMaps" to "WekaPixelClassification"
Files
mianalysis/mia-v1.1.0.zip
Files
(48.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:1417ee20e2d9d0340a69fdd6150d5598
|
48.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/mianalysis/mia/tree/v1.1.0 (URL)