Abstract
The article presents a method to perform an analysis of correspondence between sets of points in three-dimensional euclidean space E 3. Application-specific spatial data structures like the minimum (euclidean) spanning tree and several kinds of histograms assessing different transformations combined with quantities characterizing geometrical and topological qualities of point clusters are used to compute scores for point-to-point identification. These ratings are accumulated in a so-called match matrix, which is finally employed to extract a 1:1 match. The method is used to track individual fluorescent spots (synapses) in a volume of tissue which undergoes uneven spatial distortion (swelling and shrinkage). This enables the creation and analysis of cell property-profiles.
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Fries, K., Meyer, J., Hagen, H., Lindemann, B. (2003). Correspondence Analysis. In: Post, F.H., Nielson, G.M., Bonneau, GP. (eds) Data Visualization. The Springer International Series in Engineering and Computer Science, vol 713. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1177-9_4
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DOI: https://doi.org/10.1007/978-1-4615-1177-9_4
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