Microscopy Nodes: versatile 3D microscopy visualization with Blender

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.

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Publication Details

Journal
EMBO Reports
Published
2026-01-05
DOI
https://doi.org/10.1038/s44319-025-00654-8
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
36.80

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article

Microscopy Nodes: versatile 3D microscopy visualization with Blender

Simone Kohler, Brady Johnston, Yannick Schwab, Chandni Bhickta et al.
1 citations
EMBO Reports
Cell Image Analysis Techniques
36.80
article

Microscopy Nodes: versatile 3D microscopy visualization with Blender

Simone Kohler, Brady Johnston, Yannick Schwab, Chandni Bhickta, Granita Lokaj, Aafke Gros, Niccolò Banterle
article en
1 citations

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.

EMBO ReportsVol. 27(3)
The University of Western Australia (AU), European Molecular Biology Laboratory (DE), European Molecular Biology Laboratory (DE)
Ocean Foundation, European Molecular Biology Laboratory, Fondation Tara Océan, Deutsche Forschungsgemeinschaft, Boehringer Ingelheim Stiftung
Openalex Percentile: Top 2%
Cell Image Analysis Techniques
36.80
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Microscopy Nodes: versatile 3D microscopy visualization with Blender — Simone Kohler, Brady Johnston, et al. · EMBO Reports (2026) | TGRS Research Map | TGRS