Detecting cells in napari
Once napari, and the cellfinder plugin is installed, open napari, and load the plugin (
A widget should be then be docked into the side of your napari window. If this doesn't happen, check for any errors (
Plugin Errors, then select the cellfinder plugin from the drop-down menu). This error can be used to report problems on the GitHub page, or the help forum, see sidebar for links.
Then load your data (e.g. using the
File-> menu, or by dragging and dropping data). There must be two registered channels, a signal channel (containing fluorescently labelled cells), and a background channel (containing only autofluroescence).
There are many napari plugins for loading data. By default, single 3D tiffs, and directories of tiffs can be loaded.
There are many parameters that can be set (see Parameters to set), but the following options must be set before running the plugin
- Signal image - set this to the image layer containing the labelled cells
- Background image - set this to the image layer without cells
- Voxel size (z) - in microns, the plane-spacing (from one 2D section to the next)
- **Voxel size (y) **- in microns, the voxel size in the vertical (top to bottom) dimension
- Voxel size (x) - in microns, the voxel size in the horizontal (left to right) dimension
Click the Run button.
The plugin will then run (this may take a while if you're analysing a large dataset), and will produce two additional image layers:
- Detected - these are the cell candidates classified as cells
- Rejected (hidden by default) - these are the cell candidates classified as artefacts.
It is likely that the classification will not perform well on new data, to improve this, see Training data generation.
The cell coordinates can be saved using any napari plugin (e.g. to csv). To save the cell coodinates in the cellfinder XML format:
- Select the points layers (e.g. Detected and Rejected)
Save Selected Layer(s)
- Save with