I’m currently checking out NLP but I always run into the same problem:
As soon as I convert a B&W negative with NLP I get blown out highlights which are not recoverable (no matter what tool in NLP I try before or after conversion).
There is a similiar behavior when I use colorperfect, but with the tools in colorperfect it is at least possible to correct this to a certain extent.
The strange thing is, if I look at the unvonverted scan of the negative, there are no blown out areas at all and you can see all the fine details in these areas. The best result I get by simply switching the tonecurve in Lightroom and then tweaking the contrast resp. the highlights, shadows and so on by myself. But this ist time-consuming.
Nikon LS 8000
scanned exactly as recommended by you (for the colorneg test I used a linear RAW TIF instead the RAW DNG)
used film is Ilford FP4
the source-picture itself has correct exposure
Alternatively I tried the DSLR Method but with the same results.
So why do I always get these blown out highlights? Any ideas?
And a fundamental question: Why are you using Vuescan RAW DNG (which is not linear as fa as I know) and not the linear RAW TIF File in NLP?