does super-resolution refer to the image processing technique of interpolating/hallucinating higher resolutions? if so, is this a common/respected part of evidence gathering?
It's unrelated to the nvidia marketing term for ai filtering of images.
With camera movement and things like gaps between camera sensor elements acting as the undersampling, their video super resolution may be learning similar ways of legitimately reconstructing at a higher res from temporal data, though it also hallucinates some in and is dealing with already compressed video where a lot of that might be lost.
I'm not sure if their video super resolution actually does this kind of temporal stuff though or it is just a repeated image upscale, but some of the AI video upscalers do and get much better upscaling on longer windows of frames than when run frame by frame without context.
But they say they used ML analysis too in the abstract
> Using super-resolution microscopy,25 we characterized their unique molecular composition and dynamics in dissociated neurons,26 enabling Ca 2+ propagation over distances. Utilizing imaging and machine-learning-based27 analysis, we confirmed the in situ presence of DNTs connecting dendrites to other dendrites28 whose anatomical features are distinguished from synaptic dendritic spines