P: Mass alignment (single-dataset)
Brief description
Remove mass shifts between pixels improving signal-to-noise and spatial patterns.
Parameters
Tag (identifier, optional) (type - string)
Tag to be associated with the m/z transform data.
Method (type - string)
Method to use for alignment. 'lockmass' is most appropriate for ToF datasets.
No. of m/zs (type - integer)
Number of m/zs to use for alignment.
Search window (type - number)
Search window around the peak.
Warning
Don't touch this unless you know what you are doing.
This parameter controls how much wiggle room the algorithm has to find the peak. If the value is set too low and there is excessive amount of m/z drift
then it's likely to fail and give poor results. Setting this value too high can lead to false positives.
If you know that your data is shifted by a lot, then increase to 0.25 or 0.5 Da.
Attributes
| Attribute | Value | Description |
|---|---|---|
| Multiple allowed | False | Allow multiple instances of this task in a workflow. |
| Task can fail | False | Task is optional and can fail without causing the entire workflow to fail. |
| Step can fail | False | Sub-tasks of this task can fail without causing the entire task (and workflow) to fail. |
| Requires ion mobility | False | Task requires ion mobility data. |
| Task can fail (with ion mobility) | False | This task uses ion mobility data but it is allowed to fail, without causing the entire workflow to fail. |
| Allowed in reference dataset | False | Task is to be performed on a 'reference' dataset. This will allow for multiple analyses to be performed on the same dataset, without cluttering or duplicating certain tasks (unused at the moment). |