Batch processing of brain tissue sections for millimeter-scale serial section transmission electron microscopy connectomics

dc.contributor.advisor Forest, Craig R.
dc.contributor.author Lee, Timothy John
dc.contributor.committeeMember Reid, R. C.
dc.contributor.committeeMember Pardue, Machelle T.
dc.contributor.committeeMember Yunker, Peter J.
dc.contributor.committeeMember Sulchek, Todd A.
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2019-08-21T13:53:28Z
dc.date.available 2019-08-21T13:53:28Z
dc.date.created 2019-08
dc.date.issued 2019-06-25
dc.date.submitted August 2019
dc.date.updated 2019-08-21T13:53:28Z
dc.description.abstract The field of connectomics has emerged a promising approach for exploring the nature of neural circuits. A millimeter-scale connectome—a neuron-to-neuron wiring diagram of a neural circuit—potentially contains significant information regarding information processing and memory. The field is held back, however, by the difficulty in consistently and rapidly collecting neuroanatomical datasets with serial section transmission electron microscopy (ssTEM). In the cerebral cortex, for instance, a local circuit is contained in a cubic millimeter, but single sections—obtained by cutting brain samples with a diamond knife—must be “ultrathin” (< 40 nanometers), thus requiring 25,000 consecutive sections to be processed. Currently, the processing of ultrathin sections remains an unsolved problem that is necessary for the advancement of ssTEM connectomics. The goals of this proposal are: (1) design, model, and test a novel device that uses hydrodynamic forces and curvature-induced capillary interactions for the transport and trapping of ultrathin sections, (2) design, implement, and characterize batch processing of single sections to enable reliable processing of thousands of serial sections, and (3) design, test, and characterize automated batched section processing, enabling high-throughput and reliable section processing. In total, these aims comprise a novel platform for section processing for millimeter-scale ssTEM connectomics studies.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61755
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Serial sectioning
dc.subject Transmission electron microscopy
dc.subject Connectomics
dc.subject Curvature-induced capillary interactions
dc.title Batch processing of brain tissue sections for millimeter-scale serial section transmission electron microscopy connectomics
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Forest, Craig R.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication deef8ba6-503e-4cb0-b316-c3949aca6851
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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