At 1 mm^3 / day, the human connectome would take ~3,500 years to image. The fastest EM approach (GCIB-SEM) is currently at 1 mm^3 / month. I suggest that we need an entirely new imaging paradigm to overcome this challenge! This is the challenge that my research focuses on.
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Despite this, I do think that GCIB-SEM is amazing and I very much respect Ken Hayworth's work. GCIB-SEM will no doubt pave the way to lots of exciting advances!
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Replying to @LoganTCollins
Getting ~1000 GCIBs and microscopes is not that bad. I see reasons for entirely new imaging approaches, but not primarily on the basis of speed/time.
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Replying to @AdamMarblestone
If not speed-related, could you elaborate on what reasons you see for entirely new imaging approaches?
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Replying to @LoganTCollins
Molecular content, foremost & robust long-distance reconstruction via barcoding. Perhaps collecting somewhat fewer voxels given barcoding, which would indeed improve speed. Simpler instrumentation, e.g., standard optical microscopes.
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Replying to @AdamMarblestone
Interesting, I definitely agree that the molecular content is important and that barcoding would help decrease the necessary voxels. I still think that the approach of getting 1,000 GCIB-SEMs might lack efficiency/cost-effectiveness since it is very brute force oriented.
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Replying to @LoganTCollins @AdamMarblestone
If we want to do comparative connectomic studies across many human brains, we might benefit from much faster and potentially less costly technology as well. Perhaps Tweets aren't the ideal place to discuss this though, do you want to switch to PMs?
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You still need to collect a certain number of voxels. (Fewer if you have colors/barcodes.) Speed of EM is basically approaching how fast you can stream data from camera pixels onto hard drives. Same will happen for any method, maybe modulo some kind of compressive sensing.
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Replying to @AdamMarblestone @LoganTCollins
Sure my email is always open and a preferred method.
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