In the past, biomedical imaging was heavily reliant on analog, low-throughput methods, which would produce two-dimensional images. However, newer, digital, and high-throughput three-dimensional (3D) imaging methods, which rely on computer vision and computer graphics, are transforming the way biomedical professionals practice. 3D imaging has been useful in diagnostic, prognostic, and therapeutic decision-making for the medical and biomedical professions.
Provides solutions to users for viewing, modeling, and analyzing 3-D image data for structural biology. IMOD is designed for observing data from tomographic, serial section, and optical section reconstructions. Moreover, this program is also able to measure areas, volumes, and contour lengths, and to count objects of any model class.
Serves for visualizing electron tomography data. Tomviz can utilize the large quantities of memory and processing resources required to render, manipulate, and analyze voluminous 3D tomograms. It provides a graphical user interface (GUI) where objects can be rendered as shaded contours or volumetric projections. This tool also offers a set of functions such as multiple datasets, colormaps, and other visualization settings.
Provides a root system architecture characterization software. ARIA is based on a mathematically rigorous approach of converting root images into graphs. It automates phenotyping with the potential of adding additional features. This tool completes large phenotyping experiments required for many quantitative genetic studies. It is able to analyze 2D flat plane images and 3D images of roots.
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