[mlthoughts2018]

Just following-up on this, it's still staggering how long it would take to image the entire 10^6 cubic mm of the whole brain. If it took 20 device-months to image 1 cubic mm, it means we would need 20 million device-months to image the whole brain.

With 10,000 devices running in parallel, and assuming no failure rate (though with a device count this high, failures would happen constantly), that would still require 2000 months (or about 167 years) to image a whole brain.

Let's imagine the technology can undergo some type of Moore's Law (I don't know enough about the underlying SEM physics to know whether there is a clear ceiling on speedups achievable) and the time to image 1 cubic mm halves every two years. This might predict that in ~20 years, we could image a whole brain in about 4 months time (still requiring 10,000 parallel devices).

If you keep going past 20 years and continue the trend, but assume you would halve the device count but keep the 4-month timeline the same, then it would be about 42 years before a set of 5 devices could image the whole brain in 4 months time, or going on ~50 years until 5 devices could do it in less than one month, ~60 years before one device can do it in less than one month. Obviously, hugely gigantic error bars around such estimates.