PyStack3D: A python package for fast image stackcorrection

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.