A fast method for gathering large-scale data sets through the serial sectioning of
brain tissue is described. These data sets are retrieved using knife-edge scanning
microscopy, a new technique developed in the Brain Networks Laboratory at Texas
A&M University. This technique allows the imaging of tissue as it is cut by an
ultramicrotome.
In this thesis the development of a knife-edge scanner is discussed as well as the
scanning techniques used to retrieve high-resolution data sets. Problems in knife-edge
scanning microscopy, such as illumination, knife chatter, and focusing are discussed.
Techniques are also shown to reduce these problems so that serial sections of tissue can
be sampled at resolutions that are high enough to allow reconstruction of neurons at the
cellular level.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/563 |
| Date | 30 September 2004 |
| Creators | Mayerich, David Matthew |
| Contributors | Keyser, John |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 5188705 bytes, 85240 bytes, electronic, application/pdf, text/plain, born digital |
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