2025/01/14 by Oane Gros, Chandni Bhickta, Granita Lokaj +3 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · #Artificial intelligence #Atomic force microscopy #Cell Image Analysis Techniques #Computer science #Materials science #Microscopy #Nanotechnology #Optics #Physics #Visualization
paper · pdf · doi:10.1101/2025.01.09.632153
openalex publication_date 2025/01/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03
Abstract Effective visualization of 3D microscopy data is essential for communicating biological results. While scientific 3D rendering software is specifically designed for this purpose, it often lacks the flexibility found in non-scientific software like Blender, which is a free and open-source 3D graphics platform. However, loading microscopy data in Blender is not trivial. To bridge this gap, we introduce Microscopy Nodes, an extension for Blender that enables the seamless integration of large microscopy data. Microscopy Nodes provides efficient loading and visualization of up to 5D microscopy data from Tif and OME-Zarr files. Microscopy Nodes supports various visualization modes including volumetric, isosurface, and label-mask representations, and offers additional tools for slicing, annotation, and dynamic adjustments. By leveraging Blender’s advanced rendering capabilities, users can create high-quality visualizations that accommodate both light and electron microscopy. Microscopy Nodes makes powerful, clear data visualization available to all researchers, regardless of their computational experience, and is available through the Blender extensions platform with comprehensive tutorials.