iolite 4
Flexibility exemplified.
Selection refinement
· ☕ 3 min read · ✍️ Joe
Laser logs and mass spec sample metadata speed up the process of creating selections in iolite considerably. However, sometimes we want to further refine those selections for a variety of reasons.
Importing Nu Plasma .run files into iolite v4
· ☕ 9 min read · ✍️ Bence
To import mass spec data into iolite, a few key pieces of information are required. The most basic of these are the time the data were collected and what masses were measured.
Using iolite's new Selection Checker tool
· ☕ 5 min read · ✍️ Bence
iolite v4 now comes with a tool that helps you identify issues with your selections. Sometimes, errant selections can cause a DRS not to run properly, or result in many error messages.
Using a polygonal ROI as a clipping mask
· ☕ 3 min read · ✍️ Joe
When acquiring images, it is fairly common that more than just the target is ablated and analyzed. For example, maybe you want to be sure that you get the material boundaries or perhaps you are not exactly sure where the boundaries are, so you setup your sequence to cover a broader area.
Version 4.4.x release highlights
· ☕ 7 min read · ✍️ Joe
The 4.4.x series of iolite updates started with a doozy – our new local database plugin – and continued with a myriad of smaller features and bug fixes.
About updating resources
· ☕ 2 min read · ✍️ Joe
You may have noticed a dialog that looks as below when you run iolite for the first time after updating. The reason you are seeing this dialog is that a variety of files are included with iolite but live outside the iolite folder and may be modified by users.
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.
Inserting Timestamps into Old Agilent Files
· ☕ 3 min read · ✍️ Bence
An important part of iolite is the time ordering of data. This allows iolite to accurately model time-dependent phenomena such as sensitivity drift, mass fractionation and baseline variation.
Database Webinar Recording
· ☕ 1 min read · ✍️ Joe
The recording of the Database Webinar can be found here. Click here to discuss.

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