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.
Brock LJ, Economou AD, Cobourne MT and Green JBA (2016) Mapping cellular processes in the mesenchyme during 1 palatal development in the absence of Tbx1. J. Anat. 228:464--473.
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.
Heinrich, M. P., Simpson, I. J. A., Papie?, 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.
Murgasova, M., Quaghebeur, G., Rutherford, M. A., Hajnal, J. V. & Schnabel, J. A. Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Dec 2012 In Medical Image Analysis 16, 8, p. 1550-1564
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 (in press)