Author

M. Basham

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Biophysics· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

O. N. F. King· 2 shared A. Lubbock· 1 shared C. A. Siebert· 1 shared D. Farmer· 1 shared D. Hudson· 1 shared D. K. Clare· 1 shared E. D. Johnstone· 1 shared E. M. L. Ho· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBiophysics

O. N. F. King

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

CHiMP: Deep Learning Tools Trained on Protein Crystallisation Micrographs to Enable Automation of Experiments

O. N. F. King, K. E. Levik, J. Sandy, M. Basham

CHiMP tools automate protein crystallisation experiments by classifying micrographs and detecting crystals and droplets using deep learning.

bioRxiv · May 22, 2024Biophysics

A comparison of clustering models for inference of T cell receptor antigen specificity

H. Koohy, D. Hudson, A. Lubbock, M. Basham

This study compares clustering models for predicting T cell receptor (TCR) antigen specificity, finding variability in performance and scalability but high similarity in clusters for TCRs recognizing the same epitope.

bioRxiv · Aug 4, 2023Immunology

Cryo-plasma FIB/SEM volume imaging of biological specimens

M. Dumoux, T. Glen, E. M. L. Ho, L. M. A. Perdigao, S. Klumpe, N. B. Y. Yee, D. Farmer, J. L. R. Smith, P. Y. A. Lai, W. Bowles, R. Kelley, J. M. Plitzko, L. Wu, M. Basham, D. K. Clare, , M. Grange

This paper introduces cryo-plasma FIB/SEM for high-resolution 3D imaging of biological samples, achieving resolutions of 20-50 nm and enabling in-situ structural biology applications.

bioRxiv · Sep 21, 2022Cell Biology

A massively multi-scale approach to characterising tissue architecture by synchrotron micro-CT applied to the human placenta

W. M. Tun, G. Poologasundarampillai, H. Bischof, G. Nye, O. N. F. King, M. Basham, Y. Tokudome, R. M. Lewis, E. D. Johnstone, P. Brownbill, M. Darrow, I. L. Chernyavsky

This study uses synchrotron micro-CT and machine learning to analyze placental tissue structure across scales, quantifying scale-dependent errors and enabling functional analysis of maternal and fetal domains.

bioRxiv · Dec 7, 2020Bioengineering