Overview of Challenge Areas

Prospective students are asked to apply to a specific Franklin Challenge during their application to reflect the area that they would be interested in working in.

Below you can find an overview of each of the Franklin Challenges along with possible project supervising scientists, as well as links to some of students that are currently undertaking a project aligned with this Challenge.

Read more about the Franklin Challenges Franklin Challenges

Technology Innovation Challenge

Artificial Intelligence and Informatics for Predictive Biology

Open to: Home students and international students

To create a generalisable digital representation of cells which can be used to design and develop experiments in silico that are meaningfully predictive of results obtained in live cells.

Key subject areas:

Algorithm Development, Cryo Electron Tomography Automation, Big Data, Computational Biology, Computational Modelling, Data Integration and Analysis, Machine Learning, Segmentation tools.

Possible project supervisors:

Example student projects in Challenge area:

Find out more about Artificial Intelligence and Informatics for Predictive Biology Find out more

Technology Innovation Challenge

Integrated Chemical Imaging in Cells and Tissues

Open to: Home students and international students

We are developing technologies that provide a comprehensive spatially resolved view of proteins, their interaction and chemical environment in whole tissues at near cellular resolution and demonstrating these technologies in exemplar applications in understanding neurodegeneration. The aim is to provide powerful tools for characterisation of potentially pathogenic proteins and their interactions, and to enable new therapeutic target discovery. Our focus is on native ambient mass spectrometry (NAMS), which enables chemical imaging of intact protein assemblies, and on ultrahigh resolution secondary ion mass spectrometry (SIMS) imaging of small molecules, and the integration of these mass spectrometry approaches with microscopy.

Key subject areas:

Analytical Chemistry, Correlative imaging, Mass spectrometry imaging, Mass spectrometry, Neurodegeneration, Chemical imaging

Possible project supervisors:

Example student projects in Challenge area:

Find out more about Integrated Chemical Imaging in Cells and Tissues Find out more

Technology Innovation Challenge

Molecular Perturbations: Chemistry Engineering Biology

Open to: Home students and international students

Chemical methods that can edit the molecules of life offer the potential for precise control over biological processes. Such tools would enable fundamental biomolecular mechanisms to be probed in unprecedented detail, and may also pave the way for new ways to correct pathologies.

Building on our established toolkit for benign protein and carbohydrate editing, we are now developing new routes to alter biomolecules directly within living systems. We will explore both in vivo compatible chemistries, alongside photophysical and redox-controlled methods for spatial and temporal control. These methods will be used to address diverse questions, including improving methods for pharmacokinetic tracing, or understanding the molecular determinants of cell-cell and cell-virus binding through to the design of ‘new-to-nature’ functions in living systems.

Key subject areas:

Engineering Biology, Analytical Chemistry, Antimicrobial Strategies, Chemical Biology, Chemical Synthesis, Condensates, Enzymology, Glycochemistry and Glycobiology, In-cell Chemistry, In vivo Chemistry, Labelling, Mass Spectrometry, Mechanistic Biology, Post translational modifications, Protein Chemistry, Proteomics, Synthetic Biomolecules.

Possible project supervisors:

Example student projects in Challenge area:

Find out more about Molecular Perturbations: Chemistry Engineering Biology Find out more

Technology Innovation Challenge

Multidimensional Imaging

Open to: Home students and international students

We must leverage advanced computational methods as physics-informed algorithms are transforming computational imaging, enabling faster acquisition, higher resolution, and more robust interpretation for modern discovery science.

Our alternative acquisition methods will be used to examine biological structures for high resolution studies in the TEM. In the BioCOP, we make developments in structured Illumination Microscopy and combine Lattice Light Sheet Microscopy (LLSM) with Fluorescence Correlation Spectroscopy (FCS) for live deep-tissue imaging of biomolecular dynamics.

Key subject areas:

TEM, STEM, 4D STEM, 3DED, MicroED, ScanningED, SerialED, Protein Crystallography, Liquid-liquid Phase Separation, Condensates, Spatiotemporal Imaging, Fluorescence, Structured Illumination, Advanced Optical Microscopy, Spectroscopy, Ptychography, Electron optics, Image Simulations, Cryo-EM, Physics, Mathematics, Iterative Algorithms, Scanning ED, Liquid Phase TEM, iDPC, Alternative Scanning

Possible project supervisors:

Example student projects in Challenge area:

Find out more about Multidimensional Imaging Find out more

Technology Innovation Challenge

Quantitative Biology Across Scales

Open to: Home students only

The Quantitative Biology Across Scales Challenge integrates imaging from millimetres to microns, generating multidimensional descriptors that inform computational models for predictive, pathology-specific biomarkers. These workflows aim to link across modalities and spatial scales, ultimately supporting translation for clinical application.

Key subject areas:

Big Data, Correlative imaging, Advanced imaging, Structural biology in situ, Image Analysis, Segmentation, Machine Learning, Mass spectrometry, Volumetric imaging, SEM, TEM, FIB/SEM, X-ray, Gestation, Women’s health, Pipelining, Workflow development, Cell biology, Technology development, Synchrotron imaging

Possible project supervisors:

Example student projects in Challenge area:

Find out more about Quantitative Biology Across Scales Find out more

Life Science Challenge

How Pathogens Interact with Human Cells

Open to: Home students only

A key driver for the development of new ways to prevent and treat infectious diseases is an understanding of host–pathogen interactions. We use optical imaging and cryogenic Electron Tomography (cryoET) methods in conjunction with proteomics, biochemical and molecular biology to characterise the molecular interactions between pathogens and host cells in time and space, both extra- and intracellularly.

Key subject areas:

Cell biology, nanobody technology, Cryo-EM, Cryo-ET, optical imaging, microbiology, virology, chemical biology, proteomic and imaging mass spectrometry

Possible project supervisors:

Example student projects in Challenge area:

Find out more about How Pathogens Interact with Human Cells Find out more

Emerging Interest Area

Cell-cell Interactions

Open to: Home students and international students

We are interested in approaching biological questions as multiscale processes from molecules to tissues. At times, the underlying mechanisms of self-organisation of molecules and tissues might follow the same rules. We are fascinated in understanding how epithelia cells organised their components in space and time to shape a robust tissue that allows life. Our primary technique is super-resolution STED microscopy which allows us to visualize the dynamics of nanoscale adhesion complexes inside cells. We hope the visualization of these processes in space and time at high resolution in 3D tissue samples will bring us a step closer to understanding the biology and link to the pathology.

Key subject areas:

Cell Biology, Biophysics, Advanced Optical Microscopy, Biochemistry

Possible project supervisors:

Example student projects in Interest area:

Find out more about Cell-cell Interactions Find out more

Emerging Interest Area

Structural Cell Pathology

Open to: Home students and international students

Over 40 years great progress has been made in understanding the biological macromolecules essential for life. However, to examine the molecular determinants of progression for diseases we need to build tools that quantitatively bridge macromolecular structure determination and cellular dysfunction.

Our aim is to build capability in imaging tissues on molecular and cellular scales for following the development of disease from its early stages. Examples include cytoskeletal disorganisation which is believed to be an early stage in the development of Alzheimer’s disease; quantitative, integrative observations have yet to be developed to allow robust testing of this hypothesis. The broad challenges are to build bottom-to-top developments across hardware, software and (clinical) applications to address real-world questions in disease.

Key subject areas:

Cryo-ET, Plasma FIB/SEM, Volumetric imaging, Data Analysis, Multimodal Imaging, Integrative Methods, Mass Spectrometry, Structural biology, Neurobiology

Possible project supervisors:

Example student projects in Interest area:

Find out more about Structural Cell Pathology Find out more