# Scans with oversaturated colours (cyan mostly)

**URL:** <https://forums.negativelabpro.com/t/scans-with-oversaturated-colours-cyan-mostly/10402>\
**Category:** Image Editing Help\
**Created:** [September 19, 2026, 3:54pm UTC](https://forums.negativelabpro.com/t/scans-with-oversaturated-colours-cyan-mostly/10402 "2026-09-19T15:54:50Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![gab96i](https://avatars.discourse-cdn.com/v4/letter/g/439d5e/32.png) [@gab96i](https://forums.negativelabpro.com/u/gab96i)\
**Post date:** [September 19, 2026, 3:54pm UTC](https://forums.negativelabpro.com/t/scans-with-oversaturated-colours-cyan-mostly/10402/1 "2026-09-19T15:54:50Z")

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Hi all,

I’ve read through the existing threads on color casts but haven’t found something that matches what I’m seeing, so apologies if I’ve missed an obvious answer.

**The problem:** I’m converting TIFF scans from a pro lab, and most of my outdoor frames come out oversaturated with a strong cyan shade — skies go turquoise, greens go teal, and reds in the rock are pushed hard. Indoor frames seem much less affected.

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/6/65c86fd3408120ab1facddd6ce3c4c18e954829f.jpeg)

This is the original [Tiff](https://drive.google.com/file/d/1maYnEyYO_SNh-_9CO6MnF1sRNPqXlHOV/view?usp=drive_link)

No white balance applied before conversion, since these are TIFFs rather than raw files — is that actually correct for lab TIFFs, or should I still be setting a WB point off the film base?

I’m using the version 3.1.1 and these are the setting used to convert

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/b/b851c55ce5701ebf8fa321e7b90caa2505e1e952.png)

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<div class="post-metadata">

**Author:** ![Digitizer](https://avatars.discourse-cdn.com/v4/letter/d/57b2e6/32.png) [@Digitizer](https://forums.negativelabpro.com/u/Digitizer)\
**Post date:** [September 19, 2026, 8:27pm UTC](https://forums.negativelabpro.com/t/scans-with-oversaturated-colours-cyan-mostly/10402/2 "2026-09-19T20:27:39Z")

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Difficult indeed:

 ![Screen @ 2026-09-19 um 21.43.34.019](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/4/41711e231ad31ce0dc9f4f1e9639f573bb7154ed.jpeg)  
…but still not quite as juicy as your conversion.

Did you reset your image in NLP’s first tab between retries?  
Have you tried the sliders on NLP’s second tab?

 ![Screen @ 2026-09-19 um 22.16.10.019](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/8/88e9a6eac4e7bf388c6dfc74e028e9cc2aa8c6fb.png)

Looks like the scans leave you with a wide playground in which you can (and should) try all possible and improbable sliders and see what they do. They might prove useful:

 ![Screen @ 2026-09-19 um 22.21.01.019](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/6/6fdf1f80768fcfab3d58cac1e0323b380bf490b2.jpeg)  
Last mile done with HSL sliders of Lightroom.

PS: I find that images with camel-hump histograms tend to be difficult to adjust. They almost always require fiddling in Lightroom, as positive copies, with local adjustments etc.