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Updated: Jan 30, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
Published on: November 4, 2025
A comprehensive and user-friendly framework for 3D-data visualisation in invertebrates and other organisms.
Thomas L Semple1, Rod Peakall1, Nikolai J Tatarnic2,3
1Division of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, Australia.
This study introduces a workflow to simplify 3D data processing and visualization for biological research. It aims to boost the use of 3D imaging techniques like X-ray micro-computed tomography (μCT) for studying invertebrate morphology.
Area of Science:
- Biological Imaging
- Morphology
- Scientific Visualization
Background:
- 3D imaging techniques, such as X-ray micro-computed tomography (μCT), are increasingly accessible for biological research, particularly for small subjects like invertebrates.
- Current methods for visualizing and presenting 3D data lag behind the advancements in data acquisition, hindering broader adoption.
- Effective visualization is crucial for quantitative analysis of complex biological structures.
Purpose of the Study:
- To provide a comprehensive workflow for processing, visualizing, and presenting 3D imaging data.
- To encourage wider utilization of 3D imaging techniques in biological research, especially for invertebrates.
- To facilitate the creation of high-quality 3D figures for scientific publications.
Main Methods:
- Development of a detailed workflow for manipulating and visualizing 3D data from volume and surface-mesh renderings.
- Inclusion of basic and advanced options for generating various visual outputs, including images, videos, and interactive 3D-PDFs.
- Demonstration of visualization techniques for quantitative analysis of invertebrate morphology.
Main Results:
- A practical and accessible workflow for 3D data processing and visualization has been established.
- Examples of diverse 3D figure generation for publication are provided, showcasing different rendering and output options.
- The workflow supports the creation of high-resolution 3D figures suitable for modern scientific communication.
Conclusions:
- Implementing this workflow can simplify the use of 3D imaging data, thereby promoting its application in biological studies.
- Enhanced visualization methods, including interactive 3D-PDFs, improve the communication of scientific findings, particularly for microscopic invertebrates.
- The study advocates for the adoption of advanced 3D visualization techniques to advance morphological research and scientific illustration.
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