FoamQuant: a Python package for time-resolved 3D image quantification of cellular materials.

ABSTRACT: X-ray tomography is a well established technique for investigating three-dimensional bulk structures across scales, from macroscopic samples down to their microscopic constituents. The addition of a temporal dimension through dynamic, time-resolved acquisition results in four-dimensional datasets whose complexity often exceeds the processing capabilities of existing image analysis tools. To address the urgent need for a dedicated four-dimensional image analysis platform for cellular materials, we present FoamQuant-a free and open-source software package designed for batch processing and quantitative analysis of large time series of evolving cellular or foam-like materials. FoamQuant enables the extraction of key parameters such as liquid fraction (porosity), individual bubble (pore) volume

SUBMITTER: Schott F 

PROVIDER: S-EPMC12416428 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature