VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks
Published in BMC Bioinformatics, 2023
Recommended citation: Gatica, M., Navarro, C. F., Lavado, A., et al. (2023). VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks. BMC Bioinformatics, 24, 283. https://doi.org/10.1186/s12859-023-05403-z https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05403-z.pdf
Co-developed VolumePeeler, a software tool for advanced visualization and analysis of 3D biomedical image data, implemented as a FIJI plugin.
The method enables virtual "peeling" of volumetric datasets using spherical and spline-based surface projections, allowing structured exploration of complex biological geometries.
The tool improves both visual interpretation and quantitative analysis of microscopy data, supporting research workflows involving 3D imaging of tissues and embryos.