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Proceedings Paper

Neuro3D: an interactive 3D reconstruction system of serial sections using automatic registration
Author(s): Gregory Randall; Alicia Fernandez; Omar Trujillo-Cenoz; Gustavo Apelbaum; Marcelo Bertalmio; Luis Alberto Vazquez Rueda; Francisco Malmierca; Pablo Morelli
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Paper Abstract

3D detailed visualization of neurons represents a source of valuable information when trying to understand integrative phenomena at cellular and circuital levels. We describe here a low cost 3D reconstruction system developed by an interdisciplinary team of engineers and neurobiologists. The system allows 3D reconstruction of ultra thin sections observed through a transmission electron microscope. We have developed and tested a completely automatic registration method which combines local histogram equalization with correlation in multi-resolution. This method gives good experimental results in real images. It is not time consuming and it does not need dedicated hardware. The different parts of the system are briefly described: image acquisition, non-uniform illumination compensation, manual segmentation, automatic registration, 3D visualization and graphic user interface. Preliminary experimental results are also included here.

Paper Details

Date Published: 9 June 1998
PDF: 10 pages
Proc. SPIE 3261, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing V, (9 June 1998); doi: 10.1117/12.310542
Show Author Affiliations
Gregory Randall, Univ. de la Republica (Uruguay)
Alicia Fernandez, Univ. de la Republica (Uruguay)
Omar Trujillo-Cenoz, Instituto de Investigaciones Biologicas Clemente Estable (Uruguay)
Gustavo Apelbaum, Univ. de la Republica (Uruguay)
Marcelo Bertalmio, Univ. de la Republica (Uruguay)
Luis Alberto Vazquez Rueda, Univ. de la Republica (Mexico)
Francisco Malmierca, Univ. de la Republica (Uruguay)
Pablo Morelli, Univ. de la Republica (Uruguay)


Published in SPIE Proceedings Vol. 3261:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing V
Thomas Taiwei Lu; Carol J. Cogswell; Jeremy M. Lerner; Jose-Angel Conchello; Jeremy M. Lerner; Thomas Taiwei Lu; Tony Wilson, Editor(s)

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