Multiplexed immunofluorescence imaging enables the characterisation of a large number of biomarkers within single tissue sections or tissue microarrays.
I have conducted projects in collaboration with academic and industry partners using both the Cell DIVE and PhenoCycler Fusion platforms to image up to 60 antibodies simultaneously. This allows for comprehensive identification and profiling of diverse cell populations.
For the bioinformatics analysis of these datasets, I employed a range of spatial biology techniques, including cell proximity, immune infiltration, and nearest-neighbour analysis.
A key area of interest in my research is the exploration of “Cell Neighbourhoods”, which enables the stratification of tissue based on the spatial distribution and interactions of cells. I have developed advanced analysis pipelines for assessing these neighbourhoods across several projects, including:
- Development of a prognostic model for oral cancer
- Assessment of immune cell populations in cancer across different ethnic backgrounds, tissue regions, and cancer types
- Analysis of the distribution of senescent cells within human skin
