Academic
Publications
Ultrastructural Mapping of Neural Circuitry: A Computational Framework

Ultrastructural Mapping of Neural Circuitry: A Computational Framework,10.1109/ISBI.2009.5193257,James R. Anderson,Bryan W. Jones,Jia-Hui Yang,Maggie

Ultrastructural Mapping of Neural Circuitry: A Computational Framework   (Citations: 1)
BibTex | RIS | RefWorks Download
James R. Anderson, Bryan W. Jones, Jia-Hui Yang, Maggie V. Shaw, Carl B. Watt, Paul Koshevoy, Joël Spaltenstein, Elizabeth Jurrus, Kannan Umadevi Venkataraju, Ross T. Whitaker, David N. Mastronarde, Tolga Tasdizenhttp://academic.research.microsoft.com/io.ashx?type=5&id=13258494&selfId1=0&selfId2=0&maxNumber=12&query=
Complete mapping of neuronal networks requires data acquisition at synaptic resolution with canonical coverage of tissues and robust neuronal classification. Transmission electron microscopy (TEM) remains the optimal tool for network mapping. However, capturing high resolution, large, serial section TEM (ssTEM) image volumes is complicated by the need to precisely mosaic distorted image tiles and subsequently register distorted mosaics. Moreover, most cell or tissue class markers are not optimized for TEM imaging. We present a complete framework for neuronal reconstruction at ultrastructural resolution, allowing the elucidation of complete neuronal circuits. This workflow combines TEM-compliant small molecule profiling with automated image tile mosaicking, automated slice-to-slice image registration and terabyte-scale image browsing for volume annotation. Networks that previously would require decades of assembly can now be completed in months, enabling large-scale connectivity analyses of both new and legacy data. Additionally, these approaches can be extended to other tissue or biological network systems.
Conference: IEEE International Symposium on Biomedical Imaging , pp. 1135-1137, 2009
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: