Open napari (type
napari into a command window)
Into the window then drag and drop:
The signal channel directory (
The entire cellfinder output directory
The napari window then will then be populated with different layers (left hand side) that can be toggled:
ch00 The raw image data
allen_mouse_10um The atlas annotations
Boundaries The boundaries of the segmented regions
Non cells The cell candidates classfied as artefacts (blue)
Cells The cell candidates classified as cells (yellow)
If you click on the image above to enlarge, you should get a good idea of how cellfinder works:
The coloured regions and the outlines show the segmentation of the brain (following atlas registration).
The yellow circles show the detected cells (mostly in retrosplenial cortex and thalamus). There are also a few false positives (such as three on the surface of the brain and one outside the brain). This shows that the cell classification network (trained on other brains) is not quite 100%, and should be retrained with the addition of some data from this brain.
The blue circles show those cell candidates classed as artefacts by the cell classification network. The majority of these are outside the brain, on the brain surface, or are blood vessels. A small number are cells, again indicating that the classification network could be retrained.
These images are useful to assess how well cellfinder performed, but not much use for any kind of numerical analysis. To see what data is exported from cellfinder, take a look at Exploring the numerical results.