Hi All,
I know there are some similar posts to this, however I wasn’t finding an answer that seemed to work for me. I just shot a roll of Velvia 50. Upon scanning I’m finding that my images look much better straight out of camera than they do with the help of NLP.
Any thoughts on why? I have many successful NLP conversions with negatives.
Below #1 is NLP and #2 is out of camera with some temp adjustments.
Happy to provide any additional info that may be useful - this is Sony A7III w/ Nikkor 55 2.8
Shutter ~ 1/40, ISO 100, Aperture 8
Using warm backlight as recommended by the cinestill light source.
Thanks!
Ezra
Why use NLP on a slide?
NLP can improve old, faded, heavily colour casted slides, but I’d certainly NOT add an additional step in a workflow unless it improves the results, which doesn’t seem to happen in your case.
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Wow simple answer but exactly what I needed to hear - that completely makes sense. I guess I figured that if there were a function for it, I should be using it.
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That was my thought exactly. It is already a positive so any required edits could be done with the photo editing software of your choice. Having said that - it might have been me asking the question because I couldn’t see the answer. So often in life you need someone else’s input to make you realise what you are missing and very often it is the simplest thing that you are missing
I know cinestill recommends the warm backlight for slide film, but based on my experience that’s only helpful with Kodachrome slides. Otherwise for modern/E-6 slide film I get much more pleasing results with a neutral (5500k) backlight.
