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Proceedings Paper

Method for semiautomated serial section reconstruction and visualization of neural tissue from TEM images
Author(s): Kevin N. Montgomery; Muriel D. Ross
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Paper Abstract

A simple method to reconstruct details of neural tissue architectures from transmission electron microscope (TEM) images will help us to increase our knowledge of the functional organization of neural systems in general. To be useful, the reconstruction method should provide high resolution, quantitative measurement, and quick turnaround. In pursuit of these goals, we developed a modern, semiautomated system for reconstruction of neural tissue from TEM serial sections. Images are acquired by a video camera mounted on TEM (Zeiss 902) equipped with an automated stage control. The images are reassembled automatically as a mosaicked section using a crosscorrelation algorithm on a Connection Machine-2 (CM-2) parallel supercomputer. An object detection algorithm on a Silicon Graphics workstation is employed to aid contour extraction. An estimated registration between sections is computed and verified by the user. The contours are then tessellated into a triangle-based mesh. At this point the data can be visualized as a wireframe or solid object, volume rendered, or used as a basis for simulations of functional activity.

Paper Details

Date Published: 29 July 1993
PDF: 7 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148625
Show Author Affiliations
Kevin N. Montgomery, Sterling Software, Inc. (United States)
Muriel D. Ross, NASA Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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