Multiscale Imaging
From atomic interfaces to geological cores

The University of Manchester
From Imaging Matter to Predictive Matter
01 / Platform framework
A single integrated framework connecting multiscale observation, dynamic experiments, physics, AI and digital twins—from nanopores to geological formations.

02 / Facilities
Our partnerships connect laboratory, synchrotron and multiscale characterisation facilities for static, time-resolved and operando observation.
Complete observational spaceView the full-resolution Facilities map →Multiscale × multimodal × time-resolved
Partnerships
Explore connected facilities ↘03 / Integrated capabilities
Six connected capabilities support research from fundamental science through industrial translation.
From atomic interfaces to geological cores
Operando, high-pressure and reactive systems
Physics-informed learning and digital twins
FAIR data, workflows and reproducible science
Energy, environment and advanced materials
Industry, facilities, training and open science
04 / Featured research
Selected examples show how imaging becomes mechanistic understanding—and ultimately prediction.

Correlative imaging and upscaling connect sub-nanometre structures with centimetre-scale rock architecture.

Nano-CT reveals progressive pore and fracture development from ambient conditions to 400°C.

Time-resolved imaging captures attachment, bridging, pore filling, compaction and remobilisation.

Digital volume correlation links local strain, mineral composition and rock fabric to fracture propagation.

4D imaging tracks dissolution and precipitation as they progressively alter fractures and nanoporous pathways.
05 / Applications
06 / People
Our team connects multiscale imaging, experimentation and modelling across geoscience, energy and advanced materials.
Current PDRAs
Dr. Jingyue Hao · Dr. Heather Braid · Dr. Zhongbei Li
Current PhD researchers
Xin Zhong · Camilo Salazar · Ali Bony Kaya · Sonu Sudhikumar Seena · Bengang Chen · Jeffrey Akuoko · Chunmiao Ma · Yifan Yin · Deni Suryo Pratama
Team network
Researchers trained across multiscale imaging, subsurface processes and predictive modelling.
Meet the full team →07 / Projects & networks
Selected programmes link facilities, fundamental science and translation across energy and environmental challenges.
08 / Opportunities
We welcome enquiries from prospective PhD researchers and collaborators interested in digital rock, multiscale imaging, subsurface energy storage and image-based modelling.