# What to Expect From Negative Lab Pro

**URL:** <https://forums.negativelabpro.com/t/what-to-expect-from-negative-lab-pro/9744>\
**Category:** Guides and How-Tos\
**Created:** [September 29, 2025, 10:20am UTC](https://forums.negativelabpro.com/t/what-to-expect-from-negative-lab-pro/9744 "2025-09-29T10:20:15Z")\
**Posts on this page:** 1\
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**Author:** ![Harry](https://avatars.discourse-cdn.com/v4/letter/h/f6c823/32.png) [@Harry](https://forums.negativelabpro.com/u/Harry)\
**Post date:** [October 7, 2025, 8:59am UTC](https://forums.negativelabpro.com/t/what-to-expect-from-negative-lab-pro/9744/10 "2025-10-07T08:59:45Z")

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> [@burkphoto](#):
>
> The idea is to tweak a single frame, and apply those same settings to all the other frames exposed in the same lighting. This saves a lot of time! It is not going to help when you have 36 different subjects, each photographed under different lighting in different locations, but most of us don’t do that all the time.

This is essentially what you might expect to do in the darkroom with the same filtration. There is [another thread](https://forums.negativelabpro.com/t/inconsistent-with-negative-conversion-and-roll-analysis-on/9738/22), already mentioned, where the OP felt that they weren’t getting the expected consistency using Roll Analysis on a group of images of this kind and as I understand it this is because Roll Analysis still processes each frame individually to a certain extent.

It seems that if you want consistency across such images then as alternatives to Roll Analysis you create a setup and then use that across a group of images, or alternatively there is also the new ‘Match’ option. With your invaluable experience using NLP over the years do you have any guidance on the best way to use NLP in these circumstances?

As an example, suppose I’m doing a series of product shots, or indeed portraits, in a studio with consistent flash lighting. I wouldn’t want the colour of the resulting pictures to vary according to the colour the of product, or the colour of the model’s clothing.

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