Analysis of the shape of microscopic objects at a high-throughput rate is probably the only biological topic that can be achieved only using computer vision.
Morphometric analysis allows, by applying mathematics, to access objects shape, orientation, deformation as well as objects clustering and many more ...
Nanocluster dynamic analysis
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A high number of proteins are organized in clusters in the plasma membrane of cells.
Understanding the role of these clusters is highly challenging and requires powerful algorithms.
Traits computed
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Nanodomains counting
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NDs shape descriptors
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Clusters counting
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Clusters organization
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Clusters descriptors
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Clustering analysis of a plasma membrane protein imaged using TIRF microscopy during a few seconds. Clusters have been extracted assuming a minimal distance of 3 pixels between objects of the same cluster and a minimum of 3 objects per cluster.
Root system analysis
More than just providing an anchor in the soil to keep the plant in place, the root system absorbs the water and the nutrients from the soil and is also used to store food.
Analysis of the spatial deployment and structure of the root system provides information on the ability of the crop to exploit the natural resources.
Traits computed
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Number of nodes
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Roots lentgh and widgh
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Ramification index
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Plant organs 3D morphological segmentation
Analyzing the structure and organization of plant organs in 3 dimensions and comparing WT versus mutants or different time points require clean 3D segmentation based on the cells morphology.
Here, we have used an algorithm working as a snake starting from the center of the cell and riching the cell borders.
Traits computed
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Cells area in 3D.
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Cells shape descriptors in 3D.
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Cell shape evolution in time.
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