Once all issues are fixed, launch AutoDev again and tell it to 'redo' the stretch. If all is well, AutoDev will now create a histogram stretch that is optimised for the "real" object(s) in your clean data. If your data is very noisy, it is possible AutoDev will optimise for the noise, mistaking it for real detail. In this case you can tell it to Ignore Fine detail.
If your object(s) reside on an otherwise uninteresting or "empty" background, you can tell AutoDev where the interesting bits of your image are by clicking & dragging a Region Of Interest.
Don't worry about the colouring just yet - focus getting the detail out of your data first. If your image shows very bright highlights, know that you can "rescue" them later on using, for example, the HDR module.
Thank you StarTools for turning my average photos into amazing ones.
For the entropy module to be able to identify detail, the dataset should ideally be of an image-filling object or scene.
StarTools' AutoDev module however uses image analysis to find the optimum custom curve for the characteristics of the data.
The two aspects - color and luminance - of your image are neatly separated thanks to StarTools' signal evolution Tracking engine.
AutoDev finds the best compromise global curve, given what detail is visible in your image and your preferences.
You can convert everything you see to a format you find convenient. Give it a try!