timeseries
An explanation of interpolation options in iolite v4
· ☕ 5 min read · ✍️ Bence
One of iolite’s key capabilities is its ability to model processes occurring with a measurement session as time series. This is achieved via a series of interpolation methods, collectively referred to here as “splines” although they range from a simple mean of the observed data through to variably smoothed cubic splines.

Using image logs in iolite
· ☕ 2 min read · ✍️ Joe
One handy feature that was slipped into iolite a while ago without much publicity is the ability to visualize “ImageLog” images in the time series view.

Accessing session data from 3rd party software
· ☕ 3 min read · ✍️ Joe
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.