VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks

Abstract

Motivation Quantitative descriptions of multi-cellular structures from optical microscopy imaging are prime to understand the variety of three-dimensional (3D) shapes in living organisms. Experimental models of vertebrates, invertebrates and plants, such as zebrafish, killifish, Drosophila or Marchantia, mainly comprise multilayer tissues, and even if microscopes can reach the needed depth, their geometry hinders the selection and subsequent analysis of the optical volumes of interest. Computational tools to "peel" tissues by removing specific layers and reducing 3D volume into planar images, can critically improve visualization and analysis. Results We developed VolumePeeler, a versatile FIJI plugin for virtual 3D "peeling" of image stacks. The plugin implements spherical and spline surface projections. We applied VolumePeeler to perform peeling in 3D images of spherical embryos, as well as non-spherical tissue layers. The produced images improve the 3D volume visualization and enable analysis and quantification of geometrically challenging microscopy datasets. Availability ImageJ/FIJI software, source code, examples, and tutorials are openly available in https://cimt.uchile.cl/mcerda.

Plant phenotyping relevance

植物を含む3D組織画像の層構造を仮想的に展開し、可視化・定量化するFIJIプラグインの開発研究であり、植物組織形態の画像解析に再利用可能な手法が中心である。

Code and data availability

This is a software paper for VolumePeeler, a FIJI plugin for 3D volume peeling applied to zebrafish, killifish, and the plant model Marchantia. The authors' plugin source code and example data/tutorials are explicitly and publicly available, covering the paper's computational analysis including the Marchantia (plant) 3