MultiScalChar

This project develops methods from scientific imaging and computer vision for quantitative analysis of cementitious microstructures. It combines 2D images (such as SEM/BSE, µ-XRF, light microscopy) with 3D volumetric data (such as µ-CT and FIB-SEM) within a common geometric framework.

The project develops a reproducible workflow for combining complementary imaging methods into a consistent 3D description of cementitious microstructures. µ-CT provides volumetric information, while SEM/BSE, µ-XRF and FIB-SEM provide higher-resolution structural and chemical information. The project brings these data sources into a shared coordinate system and uses them for quantitative analysis of phases, pores and microstructural geometry.

Cementitious materials are difficult to characterize with a single imaging method. Large 3D scans show the global structure but miss fine details. High-resolution SEM and FIB-SEM data show local phase information but cover only small regions. The project addresses this mismatch by registering 2D sections and local high-resolution observations to 3D µ-CT volumes. Such registration is highly challenging due to low resolution of overlap, dimensional and domain information imbalance, local symmetries and pose ambiguities.