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How to get started with cellfinder |
- Make sure that cellfinder is installed (if not see Installation)
- Make sure that your data is organised as expected (see Data requirements)
{% hint style="info" %} Make sure you activate your conda environment before running cellfinder {% endhint %}
The cell detection via cellfinder can be run with a single terminal command (cellfinder):
cellfinder -s signal_channel_images -b background_channel_images -o /path/to/output_directory -v 5 2 2 --orientation psl
Multiple channels can also be processed at once:
cellfinder -s first_signal_channel_images second_signal_channel_images -b background_channel_images -o /path/to/output_directory -v 5 5 2 --orientation psl
However, there are many options to define your data and to change what parts of the analysis are run, and how they are run. You should look though the Command line options.
{% hint style="warning" %} If you have any spaces in your file-path, please enclose it in quotation marks, otherwise cellfinder will interpret it as two inputs, separated by a space.
i.e. "/path/to/my data" not path/to/my data.
{% endhint %}
The deep learning network included with cellfinder to classify cells as real cells or artefacts was trained on a very specific dataset. You will very likely need to retrain this if the classification is incorrect on your data. See Training the network.