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A 3D multi-modal and multi-dimensional digital brain model as a framework for data sharing.
- Source :
-
Journal of neuroscience methods [J Neurosci Methods] 2010 Dec 15; Vol. 194 (1), pp. 56-63. Date of Electronic Publication: 2009 Dec 28. - Publication Year :
- 2010
-
Abstract
- Computer based three-dimensional reconstruction and co-registration of experimental data provide powerful tools for integration of observation derived from various technical approaches leading to better understanding of brain functions. Here we describe a method to build a 3D multi-modal and multi-dimensional model of brain structures providing framework for data sharing. All image processing, registration and 3D reconstruction were performed using open source software IMOD package software and ImageJ. The reconstruction procedure is based on series of AChE and Nissl stained sections aligned to blockface pictures. Integration of experimental data into the reference model is achieved by co-registration of Nissl sections of experimental brain cases by positioning landmarks on corresponding anatomical structures. To overcome the challenge of comparing for experimental sections with those of the reference model, adjustment of experimental model to the brain model was done section by section and limited to the structures of interest. For this adjustment we stress the use of cytoarchitectural criteria for accurate registration of anatomical structures and co-registration procedures.<br /> (Copyright © 2009 Elsevier B.V. All rights reserved.)
- Subjects :
- Acetylcholinesterase chemistry
Acetylcholinesterase metabolism
Animals
Basal Ganglia anatomy & histology
Cerebral Cortex anatomy & histology
Coloring Agents
Image Processing, Computer-Assisted
Immunohistochemistry
Informatics
Male
Neural Pathways anatomy & histology
Rats
Rats, Sprague-Dawley
Software
Wheat Germ Agglutinin-Horseradish Peroxidase Conjugate
Brain anatomy & histology
Information Dissemination
Models, Anatomic
Subjects
Details
- Language :
- English
- ISSN :
- 1872-678X
- Volume :
- 194
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of neuroscience methods
- Publication Type :
- Academic Journal
- Accession number :
- 20043949
- Full Text :
- https://doi.org/10.1016/j.jneumeth.2009.12.014