Finding new pathways to improve human health, transforming the impossible into reality

Life Science Challenge

Quantitative Biology Across Scales

Our aim: To combine innovative imaging techniques and AI in ways that will allow researchers to flexibly image across large and small scales – from seeing whole organs to views of cells and the intricate structures within them – and with these, to transform how doctors treat patients.
Life Science Challenge

Emerging Interest Area: Imaging the Sub-cellular Functional Genomics of Disease

The Franklin’s Emerging Interest Areas are developing areas of research led by our talented emerging leaders. These areas align with the Franklin’s mission of accelerating life science discovery and improving human health.
Technology Innovation Challenge

Molecular Perturbations: Chemistry Engineering Biology

Our aim: To use innovative chemistries to better understand and modulate the molecules of life.
Technology Innovation Challenge

Multidimensional Imaging of Molecular Structures

Our aim: To develop new technologies to see the molecules of life and their dynamics with unprecedented detail.
Life Science Challenge

Emerging Interest Area: Cell-cell Interactions

The Franklin’s Emerging Interest Areas are developing areas of research led by our talented emerging leaders. These areas align with the Franklin’s mission of accelerating life science discovery and improving human health.
Technology Innovation Challenge

Integrated Chemical Imaging in Cells and Tissues

Our aim: To drive innovations in mass spectrometry alongside other structural biology techniques to find out more about the role of molecules in biology so that we can better understand health and disease.
Life Science Challenge

How Pathogens Interact with Human Cells

Our aim: To discover new ways of detecting, preventing and combatting human infectious diseases by discovering the mechanisms by which viruses and bacteria interact with human cells and tissues.
Technology Innovation Challenge

Artificial Intelligence and Informatics for Predictive Biology

Our aim: To embed data management and science into all of our research groups to best use AI and machine learning to drive life sciences research and create new research tools.

Ground-breaking research is born out of the collaborations our environment fosters, supported by our unique technologies.

PhD Studentships

New bifunctional, bispecific nanobodies scaffold helps with small protein imaging

Researchers at the Rosalind Franklin Institute, University of Oxford, and Diamond Light Source have combined their expertise to create new scaffolding molecules to allow the electron microscopy imaging of small proteins (below 50 kDa). Using this method the team have solved the smallest protein structure to date by cryoEM, that of hen egg white lysozyme, […]