Sometimes we want to examine the relationship between elements (channels) in our datasets to guide us in our data processing. For example, looking for elements whose concentrations correlate strongly can provide us with ideas about what to plot, or whether our data make sense.

The recording of the iolite basics webinar can be found on YouTube or directly from iolite. Click here to discuss.

In iolite 3, sessions were saved as Igor Pro “packed experiment” pxp files. This was convenient because iolite 3 was built on top of Igor Pro.

Curve fitting plays an import role in iolite’s data reduction pipeline. In order to get accurate results we must have an accurate representation of how our backgrounds and sensitivities are evolving with time.

Using laser logs to help sort out what’s what in your data files is a significant time saver. Now, with iolite 4’s python API (see here and here for more info) you can do even more with your laser data!