CaImAn comes with an experimental visual interface. To see an example on how use it, first load and run either
- demo_OnACID_mesoscope.py
- demo_caiman_basic.py
- demo_pipeline.py
Each of these demos will save a results file. You can then start the visual interface by running the following command from the base caiman folder (make sure you are within your caiman environment):
ipython caiman/gui/gui_pyqtgraph_layout.py
You will then be asked to load the file that is generated at the end of each file (ending in .hdf5) The associated .mmap files also need to be present in the same directory as the .hdf5
A visual interface will appear, where you will be able to:
- regulate gain and contrast for the background image (correlation image)
- regulate the threshold over the spatial masks to visualize components contours
- click on neurons and see the corresponding trace and mask
- select subset of neurons based on different quality metrics
- save the resulting selection to a file in hdf5 format
More features will be added in the future.