The iolite GitHub repository contains many examples of additional modules for iolite written in python. It’s not always obvious how to download and use these files, so here’s a quick rundown of the process.

Sometimes when imaging we purposely leave space between spots to save time or maybe there is a gap in your image from an instrument glitch. In either case, the cell space image will contain regions of null data, and often we would like to replace those missing parts to make a better looking image.

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.

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.

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.