Visualizing Volumetric and Segmentation Data using Mol* Volumes & Segmentations 2.0

Area of Science:

• Structural Biology
• Biophysics
• Computational Biology

Background:

• Increasing availability of experimental volumetric and segmentation data requires efficient web-based visualization tools.
• Current solutions are scarce, limiting data interpretation and dissemination.
• Previous Mol* VS version lacked annotation editing and seamless sharing capabilities, and required programming expertise.

Purpose of the Study:

• To present Mol* Volumes & Segmentations (Mol* VS) 2.0, an improved web application for visualizing volumetric, segmentation, and annotation data.
• To introduce user-friendly features for annotation editing and data sharing.
• To provide protocols for utilizing Mol* VS 2.0 across various scales of molecular complex visualization.

Main Methods:

• Development of the Annotation Editor, a graphical interface for editing annotations.
• Introduction of the Volumes & Segmentations Toolkit (VSToolkit) for generating shareable visualization data files.
• Outlining protocols for setting up and visualizing data using VSToolkit and Mol* VS 2.0.

Main Results:

• Mol* VS 2.0 offers a user-friendly interface for editing annotations and generating shareable visualization files.
• Protocols demonstrate the visualization of diverse data types, including geometric and lattice segmentations, multiple time frames, and volume channels.
• The VSToolkit facilitates the creation of user-constructed database entries and supports server API deployment.

Conclusions:

• Mol* VS 2.0 significantly enhances the accessibility and usability of web-based visualization for molecular volumetric and segmentation data.
• The new features address limitations of previous versions, enabling easier data interpretation and dissemination.
• This advancement supports progress in the field of molecular complex visualization by providing robust and user-friendly tools.