I bought NLP a couple weeks ago and have been scanning a bunch of C-41 negatives (Portra 400). I’m extremely new to film photography, so I apologize in advance.
My setup is a fairly standard one: light table, Fuji X-T2 with a Minolta MD 50mm f/1.7 plus extension tubes. I should mention that I’ve developed all the films I’ve scanned with NLP myself at home.
The issue I’m having is this: when I convert a picture with NLP, the shadows almost always tend to have a (sometimes strong) magenta cast. Now, I have no idea if this comes from bad development, if I’m misusing NLP, or if it could be an issue with NLP itself. I’m attaching one RAW image that for me reproduces the issue. I’m on NLP 2.0 and macOS 10.14. To reproduce, I just white balance off the film mask, crop to only the exposed frame, and hit Ctrl-N (with “Frontier” as the scanner simulation).
Here’s the RAW file:
and here’s the converted image I’m looking at:
Thanks in advance!