3D Visualization to Analyze Multidimensional Biological and Medical Data

Averbukh, Vladimir L.; Mikhailov, Ivan; Forghani, Majid; Vasev, Pavel

doi:10.1007/978-3-030-42176-2_24

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2021

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Cited by 2 publications

(2 citation statements)

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“…In figure 1, images for the influenza virus hemagglutinin are presented. These are generated by 3D scene computed by our team [5] from the data obtained from [6]. The visualization program for this scene is the following "code" placed in a data.csv file: For the first artifact, FILE_points_atoms, the points type is specified (by its name); that means loading and visualizing 3D points, coordinates, and colors for which are specified in artifact file.…”

Section: D Artifactsmentioning

confidence: 99%

An Experience of Using Cinemascience Format for 3D Scientific Visualization

Vasev¹,

Поршнев²,

Forghani³

et al. 2021

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Section: D Artifactsmentioning

confidence: 99%

An Experience of Using Cinemascience Format for 3D Scientific Visualization

Vasev¹,

Поршнев²,

Forghani³

et al. 2021

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“…In figure 1, images for the influenza virus hemagglutinin are presented. These are generated by 3D scene computed by our team [5] from the data obtained from [6].…”

Section: D Artifactsmentioning

confidence: 99%

Constructing 3D Scenes of Scientific Visualization Using CinemaScience Format

Vasev

Поршнев

Forghani

et al. 2021

Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2

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To visualize any new entity, a visualization should be designed and programmed. Investigating approaches for programming new scientific visualizations, we come to the following idea: utilize CinemaScience format to describe 3D scenes. CinemaScience is developed for storing and visualizing supercomputer and physical modelling results, and differs with simplicity both for human and machine. It has a set of interesting features, for example it allows to specify dynamics in views dependent on parameters. However its current known applications are of 2D graphics, and in this paper we extend it for 3D. It’s main idea is to treat Cinema artifacts as visual objects of explicit type. We successfully used the suggested approach in various visualization tasks, examples are presented in the paper. We developed the open-source web application that implements the suggested approach.

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3D Visualization to Analyze Multidimensional Biological and Medical Data

Cited by 2 publications

References 8 publications

An Experience of Using Cinemascience Format for 3D Scientific Visualization

An Experience of Using Cinemascience Format for 3D Scientific Visualization

Constructing 3D Scenes of Scientific Visualization Using CinemaScience Format

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