Mol* Volumes & Segmentations 2.0 (Mol* VS 2.0) enables interactive, real-time visualization of large-scale volumetric data from advanced microscopy and imaging experiments. These visualizations, important for biological research, include detailed segmentations (breaking down 2D/3D images into biologically meaningful regions such as organelles) and associated annotations to enhance biological understanding. Such data is generated by The Core Facility Cellular Imaging (CELLIM) at the Central European Institute of Technology (CEITEC).

A practical challenge arises from the limited software support for the VRML file format, commonly produced by imaging techniques like light microscopy. This necessitates effective tools to convert VRML mesh files into more widely supported formats, such as STL, facilitating their integration and analysis within Mol* VS 2.0. The resulting tool should be able to be seamlessly integrated into the Mol* VS 2.0 server to streamline data processing workflows at CELLIM.

Therefore, the thesis objectives are:

• Familiarize oneself with the VRML and STL file formats.
• Research existing software solutions for VRML to STL conversions.
• Based on the findings, extend current mesh processing libraries or develop a new specialized conversion tool.
• Test and validate the developed solution on real datasets provided by CELLIM.