ModularImageAnalysis (MIA)
Description
New plugin features
Insert dynamic parameters from the plugin GUI. Dynamic parameters, introduced in v1.1.0, are references to image and object measurements or metadata values that can be used in place of normal parameters. These values are evaluated at the time of use, so for example, an intensity threshold could be set as an image measurement (e.g. median image intensity) rather than needing to be fixed in advance. References to these dynamic parameters can now be added by right-clicking on the parameter name and selecting "Insert dynamic value".
References to global variables can now also be added from the plugin GUI using the same method as described above.
Convert buttons, tickboxes and drop-downs to text inputs. All parameter types can now be converted to accept plain text inputs by right-clicking their names. This allows global variables and dynamic parameters to be used for any parameter.
Text metadata can now be associated with each object. These text metadata items are assigned by modules in a similar way to measurements and can be used in operations such as object filtering and as overlay text labels.
New modules
- Added ObjectSlicesTo3D module, which allows objects detected in individual slices to be combined into full 3D objects. Examples where this could be used are objects output by CellposeDetection and StarDistDetection.
- Added FilterByMetadata module, which allows object metadata items to be used to filter objects.
Module new features
- ApplyWekaObjectClassification now adds an object metadata item reporting the assigned class.
- AddLabels can add object metadata items as an overlay.
- ImageCalculator can now perform pixel-wise comparative tests (e.g. equal to, greater than, etc.) to images.
Other
- Other general bug fixes and optimisations.
Files
mianalysis/mia-v1.6.0.zip
Files
(80.1 MB)
| Name | Size | Download all |
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md5:f48bf4d532b605731cf6675b276bc281
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80.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/mianalysis/mia/tree/v1.6.0 (URL)