Nikon Scan with Negative Lab Pro

Hello,
I am using for 35mm a Nikon Coolscan 4000. Are there any expierience scanning negatives as positives in Nikon Scan and then converted in NLP?
For medium format I use an Epson and the Workflow in Epson Scan for NLP works fine.

Which settings are useful in Nikon Scan for a nice conversion in Negative Lab Pro?

Thanks

Oliver

Any ideas?

Would be nice If someone already tried Nikon Scan.

Hi @Olli99,

I don’t have any direct experience with NikonScan, but I have chatted with a number of users who do, and can provide a few tips.

First, I understand that NikonScan has the ability to scan to .NEF files, but my understanding is that Lightroom can’t really interpret these properly, so you are probably better off sticking to TIFF for use with Negative Lab Pro.

Second, it’s recommended that you set the gamma to 2.2 for the scan.

Third, at least in the examples I’ve been sent that were produced with NikonScan, I get the best results starting off with the ā€œLinear + Gammaā€ tone setting in Negative Lab Pro. And in some cases, you may have to make significant adjustments to ā€œbrightness.ā€

I hope to do a deeper dive of Nikon Scan in the future, but in the meantime, hopefully other users can jump in and offer tips!

Hope that helps!
-Nate

Thank you for your explanation. I tried some negatives now with Nikon Scan but it won’t satisfied me.
Now I give Vuescan a try but there is one problem:
I scan the RAW DNG like in the tutorial. After converting I see the NLP camera profile. The problem is now that my conversions have a strong orange/red cast. In film type neutral or cooling it is most of the time ok but not perfect. Warming, Standard, Kodak or Fuji have a very strong orange/red cast and are almost useless.
I tried scanning this negatives with my digital camera and there it works fine (but without ICE :frowning:)

I am using Vuescan 9.6.47 and a Nikon Coolscan 4000.

Hope you can help me

Olli

Does anyone have an idea?

Hi!

In Vuescan in the input panel, are you scanning in ā€œimageā€ mode or ā€œnegativeā€ mode? The ā€˜negative’ mode changes the gain of each of the color channels, and I believe the Coolscan 4000 can independently control this on the hardware side, so if you are consistently seeing strong orange casts, it’s possible something has gone wrong there.

If you send me a few raw images I can take a look.

Your histogram of the negative should look something like this…

…with the color channels separate and red on the furthest right area.

If you see that the the histogram is further to the right than the fourth quadrant on the right, it can be helpful to lower the exposure prior to conversion so that everything is to the left of fourth quadrant. Like this…

And then try the conversion.

I’m finding that Lightroom’s highlight compression can particularly screw things up with Vuescan DNGs.

-Nate

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Hello Nate,
I sent you a Dropbox Link. Did you receive it?

Olli

I feel foolish asking this question, but could you tell me how to set the gamma to 2.2 in Vuescan? Is this the same as setting my brightness to 2.2?

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Is there any consensus about whats the best workflow to use a Coolscan with NLP?

Vuescan, Silverfast or Nikonscan? Which one does best with scanning as positives and converting in LR?

Reviving this thread! I’m a devoted Nikon Scan user, both with and without NLP. For reference i’m using an Nikon LS-50 and LS-5000. I tried Vuescan + NLP for a bit, but found that vuescan’s infrared clean isn’t nearly as good as the official Digital ICE in Nikon Scan, and i also get a lot of grain with 35mm scans in vuescan. like a whole lot more than Nikon Scan. My method is this: Scan in positive mode, 16 bit TIFF output, color management on, Adobe RGB color profile, normal ICE. All other settings disabled. That’s it. the color management and Adobe RGB gets you a 2.2 gamma, so no extra TIFF processing in NLP is needed before doing the conversion. Never tried the raw NEF format, because i’m not even really sure what it does in Nikon Scan.

I’ve done Nikon Scan in negative mode as well, and it works most of the time, but sometimes the colors are weird. NLP gives me better color results.

I’d love to get feedback from @nate on if there are any downsides to this method.

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just wondering, i am using a LS4000 and the problem is, that when i try to scan in positive mode (in nikonscan that is), the frames won’t align at all. i scans half frames, frames twice and so on, no way to properly scan negatives in positive mode.
did you manage to solve this?

i definitely get frame alignment mismatches more often in positive mode than in negative mode, but it’s more like a few millimeters out of alignment, to at its worst maybe half a frame. It’s the sort of thing i can fix by looking at the thumbnail and making adjustments in the ā€œboundary offsetā€ value in the ā€œfilm strip offsetā€ menu under ā€œscanner extrasā€. it doesn’t need a full re-preview or anything because it’s just going off of thumbnails, and clicking ā€œreload thumbnailā€ after each adjustment gives me a look at how far it went. The quick thumbnail functionality just doesn’t exist in any of the other scanning programs.

are you only scanning 6 frames at a time? i have a sa-21 converted to an sa-30 to scan a full roll of ilm at once and in positive mode the alignment is so far off after a few shots, that the boundary offsett value isn’t big enough to compensate for it

oh yeah, all my film is old family photos from the 80s, and was snipped into 4 frame strips when it got developed. so i’m not dealing with whole rolls at a time. i can see how that error would accumulate over a whole roll. interested to hear how people handle that!

Hi,

I’ve recently started using Nikon Scan and NLP with my Coolscan 8000 instead of just scanning in negative mode.

I currently scanning the same as you with Gamma 2.2 but have color management turned off as I thought thats what I needed to do but will this be causing a problem? So far all my images have converted fine but I want to get the my settings right before I spend alot of time scanning all of my photos.

Thanks

i keep the color management on because that’s the only way to have the color profile info included in the TIFF file, correct? otherwise it’s sort of a crapshoot how the colors will be interpreted. Doesn’t apply when you’re digitizing with RAW files from a DSLR, but for a TIFF i would think you’d want to keep it on. I’m not sure, i might be wrong on that.

i am rescanning all my 35mm color negatives now. In my test, tried linear gamma 1.0 tiff with silverfast and also nikon scan tiff and nef on gamma 1.0. All with color management off. No color profile embedded. Output files from scanner software seems to have diffferent colors(?). Anyways, i am back using Nikon Scan with my Coolscan V, 14bit, turned off color management, set gamma 1.0, using digital ICE and all adjustments turned off. Set Analog Gain to Green 1 and Blue 2, this gets rid of the filmbase orange color (makes it white), scan the complete scanarea without doing previews and save as NEF.
I noticed NEF gives better colors. Processed it in Photoshop with another program and hardly had to do any postprocessing on the colors, just did curves and contrast or some gamma exposure and i am done.

As test, I used the NEF file with NLP to compare but the colors were washed out and had to do adjustments. Anyone tried NLP with NEF files?

Update: with Linaer - Gamma and Kodak the results are better in NLP :slight_smile:
Update2: no longer saving NEF, but TIFF for more compatibility.

Just want to do a bit of a brain dump here as I’ve been on Nikon Scan with my 9000 since Snow Leopard was a new operating system and I guess I always will. My whole film archive is pretty much scanned like
Nikon Color Management: Off
Positive Mode
Equalise colour channels using analogue gain until they each are around 210 or so. (I make film-specific presets so I can get close fast)

A long long time ago I discovered that Nikon ship some fancy craft LUT colour profiles in Nikon Scan and I’ve long felt I could probably somehow leverage these to take advantage of whatever super science magic went into them. I’m sure the internal ā€œnegative modeā€ on Nikon Scan uses them and that makes the BEST colours but is unfortunately too uncontrollable to ever really use.

Anyway, so all my scans are positive TIFFs with no profile like this. I used ColorPerfect a lot in the past. I’ve made my own positive ICC profiles from scanned pics of ColorChecker targets using LumaRiver and I’ve tried a bunch of ā€œoff the shelf profilesā€. For a long time my best bet was to invert in ColorPerfect or NLP and use my LumaRiver profile but it bugged me that this was a little unscientific and SOME colours in some images would be off. It was good in about 95% of cases.

Things I chased for a long time:

  • Overall ā€œred hazeā€ kind of colour casts in inverted images. Not very bad. Fairly subtle. But annoying once noticed
  • Hard to get good punchy reds
  • Very strong yellows (bright yellow car, daffodils) going green. Weird because any normal yellow looking great
  • If I want to test different colour profiles and techniques I find the most challenging subjects are subtle greens and browns of undergrowth like heather or forest floor stuff
  • For what it’s worth skin tones are meant to be hard but I’ve never really struggled with that one

Recently I revisited doing manual inversions using Photoshop again. Something I’d played around with in the past but not been satisfied with. But these days, I’m finding really my best results and certainly colour, come from manual inversion using the Nikon_R profile and simple inversions and curves. Weirdly better colour.

OK. I know that wasn’t super focussed or specifically helpful. I’d love to get back to NLP because I like a more ā€œdeterministicā€ workflow that’s more reproducible but just being frank about where I am in case it helps or resonates with anyone else.

I’ve been reading with interest a bunch of the various colour profile and colour theory threads and it strikes me that I don’t know what a ā€œno Nikon Color Managementā€ TIFF really is. Before I’d assumed that it was like a RAW with the R G and B numbers indicating the sensor readings from each colour channel. But since learning that, e.g. there is no ā€œpureā€ green visible to a human eye, I’m left wondering if it is really like that in the TIFF or if it is interpreted in an ā€œsRGB-likeā€ way to ā€œadapted to human vision but without SPECIFIC profileā€ – if you know what I mean.

I’ve avoided the NEF output option all this time because it seems badly supported. But I also assumed the unprocessed TIFF was giving me basically the same thing. But maybe not? Frustrating. Because that’s exactly the starting point you want for an inversion, right? Maybe that’s what makes this game so hard! :slight_smile:

Just in case anyone wants to see what kind of colour and style I do (for context on all these remarks) I’ve also had a Flickr for like ages and I’m fairly OCD on Albums so I have a ColorPerfect album, an NLP album, a Manual Inversion album etc in case you want to compare. I’m just ā€œsamagnewā€ on Flickr Sam Agnew | Flickr

Stay awesome, Nikon Scanner friend!

Sam

P.S. Like 12 years ago I documented my actual raw film scan methodology. Nothing really has changed apart from I now go 1.8 on the gamma instead of 1.0. Again, that was trial and error really Scanning Colour Negative Film 101 | smashandgrabphoto

The beauty of current colour modelling is, that it is independent of human vision even though it played a role in creating the models in the first place. Mathematically, all colours can e represented by three (or four) numbers - and that’s about it.

What humans can see is a limited part of a body that contains all colours described by these numbers. Here is one (of many possible) representation of it: File:3D Graph of LMS Color Space.png - Wikimedia Commons

ā€œPure greenā€ does not exist per se, it gets defined by the respective gamut, each of which puts its red, green and blue corners in a place that is selected to an end, like creating a smaller or bigger triangle in order to e.g. be representable on real-life monitors or enclose surface colours as contained in Pointer’s gamut etc.

This is not really necessary because the mathematical models can do without. Nevertheless, technical things have their characteristics and tend to relate to known models like the ā€œStandard Observerā€ due to the work that has already been done in this area.

In the end - and oblivious to any colour science - the question remains whether photography serves to reproduce or as a means to create art.

Art, or intellectual property, begins with how one ā€œmakesā€ the image. ā€œTakingā€ the image is reproduction. So, how you set parameters in a scanner, in NLP or after conversion of a negative is a means to go beyond reproduction. What I saw in the album I checked out on Flickr is, imo, definitely beyond repro.

@Digitizer ,

Let me clarify those two:

The point about the colour mapping is that when we are inverting we don’t want that mapping on the ā€œrawā€ positive scan. We want to invert what ā€œrealā€ R G and B values are there and then have all the colour space and ā€œwhat’s visibleā€ mapping happen on the inverted image.

If our scan of the neg (as positive) is already interpreted in terms of human vision, we will end up with distortions we don’t want. That’s what I was clumsily trying to get at. The negative is not something we want an accurate ā€œpictureā€ of. It’s simply a carrier of R G and B information that we want an accurate ā€œseparationā€ of into an R G and B value map that we can invert. That inverted map then gives us the film’s ā€œinterpretationā€ of its ā€œcolour visionā€ (as designed). And that’s how an analogue colour process would work. It would be projected on to colour paper for prints or another colour negative for a positive (cinema film) print.

My own photography is, of course, artistic. Like you say, that’s the point. I often find I have responses to colours I see like the ones we all have to scents. The instant transporting to a place. And that’s what I’m often after. And yes, often amplifying. But the bugbear of all of this is that I want to start in a very very accurate place. And accurate to what the film is saying (because I like those interpretations that IT is making). Then I am free to be creative. If I can’t start somewhere accurate I often find that ā€œmemory smellā€ I was after colourwise eludes me. Like with so much art, if you really want to have fun ā€œbendingā€ reality it is always easiest if you can start with a really accurate and ā€œtrueā€ base.

Sam