There is a non-trivial amount of work being done at university research labs that has yet to feel the effects of the machine learning revolution because PIs aren’t investing (or cannot afford) programmers, and scientific equipment is manufactured by a small handful of companies who have little incentive to innovate.
Please note that n=2, but both myself and a friend of met have met people working in life science labs that were assigning research assistants to manually count cells in images, and manually sweeping through images to find stills that were in focus.
Please note that n=2, but both myself and a friend of met have met people working in life science labs that were assigning research assistants to manually count cells in images, and manually sweeping through images to find stills that were in focus.