The newer generation low noise sensors tend to have smaller pixels too, which in effect increases the impact of read noise... I am wondering if there is a true reduction in required sub exposure duration, unless binned to optimum sampling. Then again, would binning further reduce your overall read noise, given that it is applied to the logical "binned" pixel?
I understand that smaller pixels give more data (assuming oversampling) for later processing such as deconvolution etc, but if you're binning to a decent sample rate that theoretically matches both optics and seeing, you're further improving read noise too. The smaller well depth of these sensors doesn't mean a whole lot when you're stacking so many subs, you get the dynamic range anyway.
I'm excited to see where the technology takes things, one can only hope the overall size of the sensors increases, say to the size of an 8300 at a minimum
