Assembly of cell-scale maps of craniofacial development processes

Julia Schnabel (primary)
Biomedical Engineering
King's College London
Jeremy Green (secondary)
Craniofacial Development
King's College London

Abstract

Understanding what cells do in embryonic development is an essential foundation to the application of novel stem cell-based regenerative therapies. Large image datasets are being generated in animal models of normal and dysmorphic embryonic development, but integrating these data is critical. Confocal imaging and cell property-mapping is being conducted in normal and birth defect-prone strains. This project is to integrate these multiple data modes, requiring spatial registration of images within and between specimens and generating maps of cell behaviours. Multimodal imaging approaches suitable for cell-scale analysis will be developed, using, and potentially informing, the latest medical imaging registration methods.


References

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  2. Economou, AD, Brock, LJ, Cobourne, MT & Green JBA (2013) Whole population cell analysis of a landmark-rich mammalian epithelium reveals multiple elongation mechanisms. Development 140:4740-50.
  3. Heinrich, M. P., Simpson, I. J. A., Papież, B. W., Brady, Sir M. & Schnabel, J. A. Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Analysis, Volume 27, Pages 57–71, January 2016.
  4. Schnabel JA, Heinrich MP, Papież BW, Brady JM. Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Analysis 33, 145-148, 2016. Invited Guest Editorial for 20-year Anniversary Issue.
  5. Cattell, L., Platsch, G., Pfeiffer, R., Declerck, J., Schnabel, J. A. & Hutton, C.  Classification of amyloid status using machine learning with histograms of oriented 3D gradients 3 May 2016 In: NeuroImage: Clinical.

BBSRC Area
Genes, development and STEM* approaches to biology
Area of Biology
Cell BiologyDevelopment
Techniques & Approaches
Image ProcessingMathematics / StatisticsMicroscopy / Electrophysiology