In many instances the initial scans are of large areas and include artefacts (background on the edge of bacterial cells)
that are not desirable.
A typical workflow therefore involves identifying regions to crop out of the images.
This is typically done manually in Gwyddion and files are saved as .spm for subsequent
processing.
It would be useful if we could identify regions to crop and analyse automatically before doing any pre-processing to
flatten the image.
Thoughts on how to achieve this
Always take the middle of the image
Would always taking the middle of the image work?
Regions with low height differences
The artefacts are regions with very low height, we could perhaps look for areas where the height range doesn't change
too much and select these.
In many instances the initial scans are of large areas and include artefacts (background on the edge of bacterial cells)
that are not desirable.
A typical workflow therefore involves identifying regions to crop out of the images.
This is typically done manually in Gwyddion and files are saved as
.spmfor subsequentprocessing.
It would be useful if we could identify regions to crop and analyse automatically before doing any pre-processing to
flatten the image.
Thoughts on how to achieve this
Always take the middle of the image
Would always taking the middle of the image work?
Regions with low height differences
The artefacts are regions with very low height, we could perhaps look for areas where the height range doesn't change
too much and select these.