Revolutionary Spline Clipping Tool Transforms BioTechnique Practices!


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A novel open-source software application enables the visualization of the interior of 3D and 4D images, offering insights into the development of embryonic mouse hearts.

3D and 4D imaging, which involves integrating 3D imaging with temporal sequences to depict motion, are rapidly becoming commonplace in biological research. Nevertheless, visualizing features within the volume can prove to be difficult. Recently, researchers Shang Wang and Andre Faubert from Stevens Institute of Technology (NJ, USA) have crafted a tool capable of revealing the inner workings of 3D and 4D images, facilitating their exploration of the dynamics of developing mouse hearts during embryonic stages.

In their use of 4D optical coherence tomography (OCT) to examine the cardiac looping phase of embryonic mouse heart development, the researchers faced a hurdle. This looping phase is crucial for heart development; however, limited knowledge exists due to the intricate shape of the heart tube, which complicates visualization and analysis.

To address this challenge, the researchers created an open-source, real-time software tool known as clipping spline. This tool eliminates specific voxels (3D pixels) to expose the region of interest within a 3D or 4D image. This method, termed volume clipping, is akin to slicing through a solid object to reveal its interior.


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The typical technique for volume clipping utilizes clipping planes, which operate similarly to a straight cut with a knife. However, the straightforward nature of their geometry hinders the creation of concave surfaces, thus limiting their capability to exhibit intricate structures.

To resolve this limitation, the researchers introduced thin plate spline (TPS) to volume clipping for the first instance. TPS represents a type of smooth, 3D surface defined by a collection of control points, ensuring it intersects all control points with minimal curvature. Since the surface can be manipulated, users have the ability to relocate, modify, or eliminate control points to refine its shape and positioning, enabling adaptation to complex structures. With the TPS being defined via mathematical parameters, it allows for algorithmic transitions, such as relocating, splitting, or merging control points, facilitating smooth 4D volume clipping and dynamic visualizations.

The researchers employed the clipping spline on OCT data relating to embryonic mouse heart development, monitoring myocardial dynamics over a period of 12.8 hours across 712 time intervals. The tool facilitated simultaneous visualization of various segments of the twisted heart tube, offering a more holistic perspective on the dynamics involved.

“It is truly remarkable to observe these developmental processes unfold, inspiring new ideas and hypotheses that may yield significant insights into the development of the mammalian heart,” expressed corresponding author Wang. “Exploring and comprehending biological development is vital not only for enhancing clinical management of congenital conditions but also serves as a foundation for a wide range of other biomedical fields, including cancer research and regenerative medicine.”

Although the researchers applied the clipping spline utilizing 4D OCT data, the tool is versatile enough to be employed with volumetric images from any imaging modality. They are now focused on developing additional advanced image processing methodologies using the clipping spline, as well as applying this technique to explore embryonic heart development further.


This page was generated automatically; to access the article in its initial location, you can visit the link below:
https://www.biotechniques.com/computational-biology/new-software-tool-visualizes-the-inside-of-3d-images/
and if you wish to have this article removed from our website, please get in touch with us.

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