Normalization is a critical step in obtaining reliable and reproducible quantitative western blotting. Under ideal conditions, normalization would not be necessary, but factors such as sample loading ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...