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- W2492445298 abstract "Publisher Summary The initial steps to be performed in image processing are noise reduction, shading correction, contrast, and edge enhancement. Depending on the noise sources and the hardware devices involved, images can be processed via software or hardware. Quantitative image analysis deals with both collecting information from fluorescence intensity signals and obtaining morphological–geometrical parameters from the sample. Morphological investigations of images are strictly connected to the idea of topological space due to the mathematical environment wherein tools for quantitative analysis are developed. As a first step, this requires an unequivocal relationship between each image array and a set of real space coordinates to be established. The need of morphometrical measurements is often the main prerequisite in most biological and medical comparative studies where the shape and dimension of structural components of the samples such as tissues, cells, and organlets are strictly related to their functions. The approaches discussed so far mainly rest on some common properties of the familiar topological space, but there exist in nature objects whose properties are not fully analyzable by any possible set of standard topological parameters." @default.
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- W2492445298 date "2006-01-01" @default.
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- W2492445298 title "The State of the Art in Biological Image Analysis" @default.
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