Year: 2024
Type: software-paper
Abstract: Three-dimensional reconstruction from 2D image stacks is a crucial technique in various scientific domains.For instance, acquisition techniques like Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) leverage this approach to visualize complex structures at the nanoscale.However, creating a "clean" 3D stack often requires image corrections to remove artifacts and inconsistencies, particularly for volume segmentation, a crucial process for 3D quantitative data analysis.Here we present PyStack3D, a Python open-source library, that aims at performing several image 'cleaning' tasks (Figure 1) in the most integrated and efficient manner possible.
DOI: 10.21105/joss.07079
Authors: Patrick Quéméré, Thomas David
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4402746747