A Unified Framework for Neuroscience Morphological Data Visualization
The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningf...
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/10/4652 |
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| author | Luis Pastor Sofia Bayona Juan P. Brito María Cuevas Isabel Fernaud Sergio Emilio Galindo Juan José García-Cantero Francisco González de Quevedo Susana Mata Oscar David Robles Angel Rodríguez Pablo Toharia Ana Zdravkovic |
| author_facet | Luis Pastor Sofia Bayona Juan P. Brito María Cuevas Isabel Fernaud Sergio Emilio Galindo Juan José García-Cantero Francisco González de Quevedo Susana Mata Oscar David Robles Angel Rodríguez Pablo Toharia Ana Zdravkovic |
| author_sort | Luis Pastor |
| collection | DOAJ |
| description | The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels. |
| first_indexed | 2024-03-10T11:15:31Z |
| format | Article |
| id | doaj.art-c52d5ec2450647e1bf513a3447d8920f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:15:31Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c52d5ec2450647e1bf513a3447d8920f2023-11-21T20:26:44ZengMDPI AGApplied Sciences2076-34172021-05-011110465210.3390/app11104652A Unified Framework for Neuroscience Morphological Data VisualizationLuis Pastor0Sofia Bayona1Juan P. Brito2María Cuevas3Isabel Fernaud4Sergio Emilio Galindo5Juan José García-Cantero6Francisco González de Quevedo7Susana Mata8Oscar David Robles9Angel Rodríguez10Pablo Toharia11Ana Zdravkovic12Departamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Lenguajes y Sistemas Informáticos e Ingeniería del Software, Escuela Técnica Superior de Ingenieros Informáticos, Campus de Montegancedo, Universidad Politécnica de Madrid, Boadilla del Monte, 28660 Madrid, SpainDepartamento de Dibujo y Grabado, Facultad de Bellas Artes, Universidad Complutense de Madrid, C/Greco, 2, 28040 Madrid, SpainLaboratorio de Circuitos Corticales, Centro de Tecnologías Biomédicas, Campus de Montegancedo, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainDepartamento de Arquitectura y Tecnología de Sistemas Informáticos, Escuela Técnica Superior de Ingenieros Informáticos, Campus de Montegancedo, Universidad Politécnica de Madrid, Boadilla del Monte, 28660 Madrid, SpainDepartamento de Arquitectura y Tecnología de Sistemas Informáticos, Escuela Técnica Superior de Ingenieros Informáticos, Campus de Montegancedo, Universidad Politécnica de Madrid, Boadilla del Monte, 28660 Madrid, SpainDepartamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa, Escuela Técnica Superior de Ingeniería Informática, Campus de Móstoles, Universidad Rey Juan Carlos, 28933 Madrid, SpainThe complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.https://www.mdpi.com/2076-3417/11/10/4652neuroscience information visualizationmultilevel navigationnonphotorealistic rendering |
| spellingShingle | Luis Pastor Sofia Bayona Juan P. Brito María Cuevas Isabel Fernaud Sergio Emilio Galindo Juan José García-Cantero Francisco González de Quevedo Susana Mata Oscar David Robles Angel Rodríguez Pablo Toharia Ana Zdravkovic A Unified Framework for Neuroscience Morphological Data Visualization Applied Sciences neuroscience information visualization multilevel navigation nonphotorealistic rendering |
| title | A Unified Framework for Neuroscience Morphological Data Visualization |
| title_full | A Unified Framework for Neuroscience Morphological Data Visualization |
| title_fullStr | A Unified Framework for Neuroscience Morphological Data Visualization |
| title_full_unstemmed | A Unified Framework for Neuroscience Morphological Data Visualization |
| title_short | A Unified Framework for Neuroscience Morphological Data Visualization |
| title_sort | unified framework for neuroscience morphological data visualization |
| topic | neuroscience information visualization multilevel navigation nonphotorealistic rendering |
| url | https://www.mdpi.com/2076-3417/11/10/4652 |
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