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[[Software#Viewing and measuring volume images: VolViewer|<span style="color:DarkGreen;">More details on viewing three dimensional images</span>]]<br><br> | [[Software#Viewing and measuring volume images: VolViewer|<span style="color:DarkGreen;">More details on viewing three dimensional images</span>]]<br><br> | ||
==<span style="color:DarkGreen;">Analysing shapes, faces, leaves and petals== | |||
[[Image:PortraitsMEANSsmaller.jpg|800px]] | |||
None of the above portraits exist. They were created by placing point models on samples of each painters work and computing the PCA of both the shape and the appearance. Each image is the mean shape coloured with the mean appearance. They are arranged in date order: Giotto (~1300), Leonardo da Vinci (~1600), Valazquez (~1630), Rembrandt (~1650), Modigliani (~1900), Soutine (~1930).<br><br> | |||
==<span style="color:DarkGreen;"> | The AAMToolbox enables the user analyse the shape and colour of collections of similar objects. Originally developed to analyse face shapes for lipreading, we have used it extensively for analysing the shapes of leaves and petals. The analysis can be applied to art, for example, finding systematic differences between portraits by, for example, Rembrandt and Modigliani.<br><br> | ||
[[Software#Analysing shapes in 2D and 3D: AAMToolbox|<span style="color:DarkGreen;">More details on analysing shapes</span>]]<br><br> | |||
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Revision as of 10:04, 21 May 2012
Bangham Lab - Home
Current activity: a collaboration with the CoenLab with the aim of understanding how patterns of gene activity in biological organs influence the developing shape. The BanghamLab is focussed on the conceptual underpinning: concepts captured in computational growth models, experimental data visualisation and analysis.
Computational biology toolboxes
Growing complex biological shapes from patterns of gene expression
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The growth of a complex snapdragon flower shape. Key to the model, is an hypothesis on how organisers control the axes along which growth occurs. The organisers are shown in cyan and green. On the right are the shapes of two symmetrical mutants computed from the same model (hypotheses).
The Growing Polarised Tissue Framework for understanding and modelling the relationship between gene activity and the growth of shapes such leaves, flowers and animal embryos (Kennaway et al 2011). The GPT-framework was used to capture an understanding of (to model) the growing leaf (Kuchen et al 2012) and Snapdragon flower Green et al 2011. The Snapdragon model was validated by comparing the results with other mutant and transgenic flowers Cui et al 2010.
Viewing three dimensional images
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A collection of images of plants, plant organs and cells.
VolViewer uses OpenGL and Qt to provide a user friendly application to interactively explore and quantify multi-dimensional biological images. It has been successfully used in our lab to explore and quantify confocal microscopy and optical projection tomography images. It is open-source and is also compatible with the Open Microscopy Environment (OME).
More details on viewing three dimensional images
Analysing shapes, faces, leaves and petals
None of the above portraits exist. They were created by placing point models on samples of each painters work and computing the PCA of both the shape and the appearance. Each image is the mean shape coloured with the mean appearance. They are arranged in date order: Giotto (~1300), Leonardo da Vinci (~1600), Valazquez (~1630), Rembrandt (~1650), Modigliani (~1900), Soutine (~1930).
The AAMToolbox enables the user analyse the shape and colour of collections of similar objects. Originally developed to analyse face shapes for lipreading, we have used it extensively for analysing the shapes of leaves and petals. The analysis can be applied to art, for example, finding systematic differences between portraits by, for example, Rembrandt and Modigliani.
More details on analysing shapes