This is potentially a naive question, but how well would the imagining deal with missing data? Say that 1% (or whatever the base rate is) of tissue samples would be destroyed during slicing or expansion—would we be able to interpolate those missing pieces somehow? Do we know any bounds on the error would that introduce in the dynamics later?
We know it depends on damage repartition. Losing1% of your neurons is enough to destruct your thalamus, which looks like your brain is dead. But you can also lose much more without noticing anything, if the damage is sparse enough.
This is potentially a naive question, but how well would the imagining deal with missing data? Say that 1% (or whatever the base rate is) of tissue samples would be destroyed during slicing or expansion—would we be able to interpolate those missing pieces somehow? Do we know any bounds on the error would that introduce in the dynamics later?
We know it depends on damage repartition. Losing1% of your neurons is enough to destruct your thalamus, which looks like your brain is dead. But you can also lose much more without noticing anything, if the damage is sparse enough.