The microscopy connectome towards 3D PLI tractography in the BigMac dataset
Here, we reconstruct 3D fibre orientations from 2D microscopy images in the BigMac dataset. This will facilitate future determination of the ultra-high resolution microscopy connectome, with applications in basic neuroanatomy and tractography design.
Automatic extraction of reproducible semi-quantitative histological metrics for MRI-histology correlations
Here, we describe an end-to-end pipeline for the extraction of a histological metric from IHC stains to quantify a microstructural feature. We compare the pipeline’s reproducibility and robustness to histology artefacts, relative to manual MRI-histology analyses.
Spatially resolved MALDI mass spectrometric imaging of human brain tissue for metabolites, lipids, and peptides - proof of principle
In this proof of principle experiment, we demonstrate that MALDI-MSI combined with classical LCM LC-MS/MS has the potential to spatially resolve metabolic signatures in human brain at cellular resolution. Abstract & Talk given - The Oxford Metabolic Health Symposium 2020, 30th June – 3rd July 2020.
Molecular imaging of human brain tumour tissue by mass spectrometry
LC-MS based mass spectrometry imaging of proteins has the potential to provide novel insights into the proteome of tissues. Abstract - Presented at the Oxford Metabolic Health Symposium 2020, 30th June – 3rd July 2020.
High throughput, spatially-resolved proteomic analysis of a human brain tumour
Here we apply a sensitive, spatially resolved workflow for the proteomic analysis of a tumour to identify proteins that display spatial expression patterns within the tissue in an unsupervised manner. Abstract and Poster - ASMS Conference on Mass Spectrometry and Allied Topics, May 31st - June 4th 2020.
The BigMac dataset - linking tissue microstructure with diffusion MRI signals throughout the brain
Linking tissue microstructure with diffusion MRI signals throughout the brain Abstract and Poster - Whistler Scientific Workshop on Brain Functional Organization, Connectivity, and Behavior, March 1st - March 4th 2020.
Understanding the pathophysiological role of early tau aggregates in Alzheimer's disease by their direct visualisation in situ
Presented at 121st Meeting of the British Neuropathological Society, Developmental Neuropathology Symposium, 4th – 6th March 2020. Published Poster - Journal of Neuropathology and Applied Neurobiology.
Detection and quantification of pathological C-terminal TDP-43 fragments in post mortem brain tissue
The detection of specific TDP-43 peptides able to quantify the pathological fragments of TDP-43 in post mortem ALS brain tissue, offers the opportunity to develop an in vivo assay to measure pathological TDP-43. This would have major diagnostic, stratification and pharmacodynamic biomarker potential. The finding of CTF in cases labelled as AD may reflect the recent identification of a sub-group labelled Limbic-predominant Agerelated TDP-43 Encephalopathy. Published Abstract (Journal of Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, volume 20, S1, November 2019) and Poster - 30th International Symposium on ALS/MND, December 4th - 6th, 2019.
Characterising the Proteome of the Giant Pyramidal Betz Cell.
Highlights some of the initial novel proteomic work performed on Betz cell. Poster - University of Oxford’s Medical Science Division D.Phil Day 2019.
The BigMac dataset - ultra-high angular resolution diffusion imaging and multi-contrast microscopy of a whole macaque brain
Diffusion MRI (dMRI) has great potential for studying the complexity of white matter fibre architecture non-invasively. However, because dMRI is an indirect measure of this microstructure, we require validation datasets for two main purposes. (i) to relate dMRI to microscopy data that directly measures the microstructure of interest; and (ii) to relate high-quality dMRI data to more conventional data quality. We present the NAMETBC dataset which addresses both of these goals. Article and Poster - International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting & Exhibition, May 11th - 16th, 2019.
