Examinando por Autor "Mata, Susana"

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A Unified Framework for Neuroscience Morphological Data Visualization
(MDPI, 2021) Pastor, Luis; Bayona, Sofia; Brito, Juan P.; Cuevas, María; Fernaud, Isabel; Galindo, Sergio Emilio; García-Cantero, Juan José; González de Quevedo, Francisco; Mata, Susana; Robles, Oscar David; Rodríguez, Angel; Toharia, Pablo; Zdravkovic, Ana
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.
Estudio de la generación del soma en función de métodos de deformación
(2014-11-14) Sújar, Aaron; Brito, Juan Pedro; Mata, Susana; Bayona, Sofía
La aplicación utiliza técnicas de deformación, comúnmente usadas en gráficos, para generar una representación 3D computacional de las neuronas. Sin embargo, se planteó que podría mejorarse la aplicación mediante la introducción de nuevos métodos de deformación y el estudio de la calidad de los somas generados. Así, los principales objetivos de este proyecto son: el planteamiento de técnicas alternativas de deformación para la generación de somas y la verificación de la calidad de los mismos, mediante la utilización de métricas y la comparación entre los somas generados con la herramienta a partir de descripciones incompletas y los modelos 3D segmentados (a partir de datos 3D completos) aportados por los neurocientíficos.
NeuroEditor: a tool to edit and visualize neuronal morphologies
(Frontiers Media, 2024-02-14) Velasco, Ivan; Juan J., Garcia-Cantero; Juan P., Brito; Sofia, Bayona; Pastor, Luis; Mata, Susana
The digital extraction of detailed neuronal morphologies from microscopy data is an essential step in the study of neurons. Ever since Cajal’s work, the acquisition and analysis of neuron anatomy has yielded invaluable insight into the nervous system, which has led to our present understanding of many structural and functional aspects of the brain and the nervous system, well beyond the anatomical perspective. Obtaining detailed anatomical data, though, is not a simple task. Despite recent progress, acquiring neuron details still involves using labor-intensive, error prone methods that facilitate the introduction of inaccuracies and mistakes. In consequence, getting reliable morphological tracings usually needs the completion of post-processing steps that require user intervention to ensure the extracted data accuracy. Within this framework, this paper presents NeuroEditor, a new software tool for visualization, editing and correction of previously reconstructed neuronal tracings. This tool has been developed specifically for alleviating the burden associated with the acquisition of detailed morphologies. NeuroEditor offers a set of algorithms that can automatically detect the presence of potential errors in tracings. The tool facilitates users to explore an error with a simple mouse click so that it can be corrected manually or, where applicable, automatically. In some cases, this tool can also propose a set of actions to automatically correct a particular type of error. Additionally, this tool allows users to visualize and compare the original and modified tracings, also providing a 3D mesh that approximates the neuronal membrane. The approximation of this mesh is computed and recomputed on-the-fly, reflecting any instantaneous changes during the tracing process. Moreover, NeuroEditor can be easily extended by users, who can program their own algorithms in Python and run them within the tool. Last, this paper includes an example showing how users can easily define a customized workflow by applying a sequence of editing operations. The edited morphology can then be stored, together with the corresponding 3D mesh that approximates the neuronal membrane.
Visualización de datos multidimensionales y multivariables en entornos tridimensionales, aplicados a la ingeniería civil
(2014-11-14) Sújar, Aaron; Raya, Laura; Mata, Susana
Este proyecto se centra en la facilitación de la visualización de datos multidimensionales y multivariables en entornos tridimensionales. Dentro de la visualización de datos, existen múltiples técnicas que permiten un mejor entendimiento de la información mostrada y la creación de interfaces de usuario más intuitivas y manejables