Introduction
The following sections document the usage of the steinbock command-line interface (CLI).
Prerequisites
From this point onwards, it is assumed that the steinbock
command alias was configured correctly.
Getting help
At any time, use the --help
option to show help about a steinbock command, e.g.:
> steinbock --help
Usage: steinbock [OPTIONS] COMMAND [ARGS]...
Options:
--version Show the version and exit.
--help Show this message and exit.
Commands:
preprocess Extract and preprocess images from raw data
classify Perform pixel classification to extract probabilities
segment Perform image segmentation to create object masks
measure Extract object data from segmented images
export Export data to third-party formats
utils Various utilities and tools
apps Third-party applications
Directory structure
By default, all steinbock command options follow to the default directory structure.
Trying it out
To try out steinbock, the IMC mock dataset can be used as follows:
- Copy the raw directory to your steinbock data/working directory
- Place the panel.csv into the
raw
directory in your steinbock data/working directory - Continue with Imaging Mass Cytometry (IMC) preprocessing and subsequent steps
Note
Existing Ilastik training data (Ilastik pixel classification project, Ilastik crops) can be used for the classification step.