This is a basic workflow showing how real-world, imperfect data from a DSLR can be processed in StarTools. The workflow details data prep, bias / gradient / light pollution removal, stretching, deconvolution, color calibration and noise reduction. Please see video description on YouTube for the actual datasets and other resources.
The magnitude of the noise grain is subsequently recovered, modeled and shaped for use as quantization error diffusion in the final denoised image.
The reason Wipe backs off is that Wipe (as is the case with most modules in StarTools) refuses to clip your data.
Data binning is a data pre-processing technique used to reduce the effects of minor observation errors.
You can convert everything you see to a format you find convenient. Give it a try!