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Updated: Jul 6, 2026
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Autoradiography as a Simple and Powerful Method for Visualization and Characterization of Pharmacological Targets
Published on: March 12, 2019
Databasing receptor distributions in the brain
Rolf Kötter1, Jürgen Maier, Wojciech Margas
1Section Neurophysiology & Neuroinformatics, Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre Nijmegen, The Netherlands.
Methods in Molecular Biology (Clifton, N.J.)
|March 28, 2008
Summary
Researchers developed CoReDat, a multi-user relational database, to efficiently manage brain receptor distribution data from autoradiographic mapping studies. This system simplifies tracking complex neuroscientific research findings.
Area of Science:
- Neuroscience
- Bioinformatics
- Computational Biology
Background:
- Autoradiographic mapping of brain receptor distributions is crucial for neuroscience research.
- This traditional method is labor-intensive and costly, hindering data management and accessibility.
Purpose of the Study:
- To introduce CoReDat, a novel multi-user relational database system.
- To provide a solution for efficiently organizing and accessing brain receptor distribution data.
Main Methods:
- Design and implementation of a multi-user relational database system named CoReDat.
- Development of a comprehensive data model for receptor distribution information.
Main Results:
- CoReDat offers a centralized platform for managing autoradiographic mapping data.
- The system is available for download, facilitating broader use in neuroscience.
Conclusions:
- CoReDat streamlines the management of complex neuroscientific data.
- The database serves as a valuable tool for researchers studying brain receptor distributions and can be adapted for related applications.
