I asked a related question on SO, but I also had some biology related questions to this issue.
One of the big things I'd like to do is sort between DNA/UV images and Western/Chemi images. After manually scrolling through the hex of a few of these files, I think the section that might help me with this information is here:
My logic is that the
imageing_mode and filter will be the best way to determine this information. Again, as in my SO question, I don't know how to decode them, but there should only be three
imageing_modes in the whole set, so I might be able to manually map them.
I also found the information directly spelled out in the hex:
But it actually seemed a little more problematic to use. In the 10 files I've looked at manually, this information is at a different place each time. There doesn't seem to be a pattern in the placement of UV vs. Chemi. It's true that I could try and parse the whole file, but I think that would take way too much time. The imaging mode part does seem to be in the same place, so if I could use that it would be preferable.
Is there a better meta-element to be looking for? I'm confused as to why the Chemi text is in a different location between files. It doesn't seem to be after the actual image information, but maybe I'm missing the image lead in. Doe anyone know what actually indicates the start of the image?
Does anyone know if there is a better way to make this determination with information that is already being processed with ImageJ? Alternatively, is there a better software suit to batch process large amounts (3T) of .1sc files? My attempts at using QuanityOne and ImageLab have crashed and led to fragmented output.