mapping images exporting and pixel data

Shiqiang_Huang

Hi, I was wondering could you guys improve the image output capability to make it easier to process the mapping images? For example, the font size and tick makers in the color scale are too small so it really needs a lot of time to work on these when you want to integrate all the elemental mapping images into one big image that is publishable in the paper.

Another problem I ran into was that when I imported the mapping image of PDF version into Coredraw (2018) to do the further processing, the mapping image cannot be read by Coredraw. So I had to separately import the mapping image of JPG version and the color scale of PDF version into Coredraw to do the further processing. Do you guys have any ideas how to solve this problem? Right now, Coredraw is the only image processing software I am using.

The last question is that does each pixel data have uncertainty and detection limit except the mean value? I know I can select a ROI and get the data of mean and 2SE of a element for the area. And I also know in the matrices file you can find the mean data of each pixel.

Looking forward to your replies.

Thanks,
Shiqiang Huang

Joe

Hi,

I agree that adding more style options to the export would be useful. In the meantime, it is relatively easy to change the size of the "image" relative to the fonts and ticks with a couple of python commands. For example,

from iolite.QtCore import QSettings
QSettings().setValue("Imaging/ImageLongLength", 500)

would make the fonts and ticks 3 times larger (the default value is 1500). Note that you would only need to do this once and the change would persist for all sessions. It is not necessarily recommended to change this value, but I think it will do what you want without many side effects 🙂

I have tried opening the pdfs in Preview on Mac, Acrobat, Graphic, Affinity Designer, Inkscape, and a trial version of Corel Draw 2020. The only program that has a problem is Corel Draw. However, I did notice that if I open the pdf in Inkspace (which is free) and save the pdf, you can open that pdf in Corel Draw. So, if you must use Corel Draw, you might be able to resave/convert the iolite pdf outputs to one that works in Corel Draw via 3rd party tools.

No, each pixel does not have uncertainty and LOD data. I suppose for cell space images you could have an uncertainty/LOD for pixels that are derived from multiple time-slices, but in many cases there is only 1 time-slice contributing to a pixel and so the uncertainty and LOD does not make much sense.

All the best,

Riia

Joe

Hi Joe! I know this is a very basic question, but where would one put those python commands in order to have them applied? I rather like the idea of being able to read the scale bars when looking at the maps...

Joe

Riia
If it is a one off sort of thing you can type them into the python console. If it is something you're going to run often, you can put it in the python workspace and save it as a script to recall whenever you need it.

There is a bit more info about the different ways python is integrated here:
https://notes.iolite.xyz/posts/pythonintro/