Releases: LabeoTech/Umit
Astrocyte-v.1.5.8 - Bug fixes and minor improvements
- Minor bug fixes
- Fixed GSR calculation.
- Changed behaviour of ROImanager math operations: now the original ROIs are preserved.
- Added option to import ROIs from different ROImasks files.
Astrocyte-v.1.5.7 - Bug fixes
Minor bugs were fixed in pipeline management and across graphical interfaces.
Astrocyte-1.5.6 - Bug fixes with Pipeline management
Fixed issues with skipping of pipeline steps and minor bugs with the UI.
Astrocyte-v.1.5.0 - Added statistics features
New feature:
- Hypothesis tests are now available for "scalar" data and "correlation matrices". Click here for more information.
Bugs fixed:
- Functions with multiple outputs were not taken into account when in the middle of the pipeline.
- Compatibility issues with MacOS and Linux.
Astrocyte-v.1.4.0 (fixed)
Fixed bugs from release Astrocyte-v.1.4.0
Astrocyte-v.1.4.0
Update: some bugs found in DataViewer and ROImanager!
In this release:
-
Extended capabilities in umIT's Analysis tab:
- Improved visualization of scalar and time-series data
- Option to merge consecutive acquisitions
- Option to change X-axis and Grouping for scalar and time-series data
- Option to subset and rearrange observations and/or events
-
Bug fixes in DataViewer and ROImanager.
Retinotopy functions & data merging tool
New in this release:
- function to create retinotopic maps from periodic stimuli (as in Kalatsky and Stryker 2003).
- function to create Visual Sign Map (Sereno et al. 1994, 1995) from azimuth and elevation retinotopic maps and create ROIs from the segmentation of VSMs compatible with ROImanager app.
- Tool to concatenate imaging data from several acquisitions.
Also in this release:
- Bug fixes in apps and analysis functions
- Expanded the capabilities and options of several analysis functions.
Minor updates (but important)
Updated some functions that still used the Umitoolbox environment variable.
Also, wiki page links were updated across the documentation.
Notes about the previous release Astrocyte-v.1.2.4:
The previous release will work only for users that are updating the toolbox (i.e. those that already have an environment variable).
If you are a first user, please, download this release and further.
Library merge; environment variable removed; Improvements on trigger detection
Important:
This release will work only for users that are updating the toolbox (i.e. those that already have an environment variable).
For first users, please refer to the latest release (v.1.2.5 and above).
In this release, we present three major changes:
- The IOI_ana library is now part of this Git repo. For now on, all functions needed to run the toolbox can be downloaded from here.
- The environment variable Umitoolbox is no longer needed to install and run the toolbox. For now, on simply add the toolbox to the Matlab's path to run it. However it is important to run the function
Umitoolbox_setup(as admin) to add/update the local documentation. - We expanded the capabilities of the function ImagesClassification and its wrapper function run_ImagesClassification to read analog inputs. Now, the functions are able to:
A. Detect triggers from external analog in channels (AIch 1-8)
B. Read more than one channel.- In this case, each channel must encore one condition. For instance, if you have two stimulation devices, each one connectec to one AI Channel, you can read both channels during data import. Then, the function run_ImagesClassification will create an events.mat file with the triggers from each channel representing different conditions: AICh1 = condition 1; AICh2 = condition 2.
Also in this release:
- DataViewer:
- Triggers stored in the events.mat file are now plotted in the temporal profile figure. (for image time series (with dimensions Y,X,T only for now). To visualize the triggers, load the image time series from a
.datfile and go to Utilities Show trigger traces*.
- Triggers stored in the events.mat file are now plotted in the temporal profile figure. (for image time series (with dimensions Y,X,T only for now). To visualize the triggers, load the image time series from a
New: Grouped average of SPCMaps
New tool for the Analysis panel in the umIToolbox app: PlotAvgMaps tool.
This tool allows the visualization of group averages of cortical maps for longitudinal datasets.
Check the tool documentation for details.
Note: To update the local documentation, run the function Umitoolbox_setupEnv after downloading this release.
Also in this release:
- Analysis function updated (
genCorrelationMatrix) to create inputs forPlotAvgMapstool. - bug fixes
- issues resolved.