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Imaging particle analysis is a technique for making particle measurements using [[digital imaging]], one of the techniques defined by the broader term [[particle size analysis]]. The measurements that can be made include [[particle size]], particle shape (morphology or [[shape analysis (digital geometry)|shape analysis]] and [[grayscale]] or [[RGB color model#Numeric representations|color]], as well as distributions (graphs) of [[Population (statistics)|statistical population]] measurements.
==Description & History:==
Imaging particle analysis uses the techniques common to [[image analysis]] or [[image processing]] for the analysis of particles. Particles are defined here per [[particle size analysis]] as particulate solids, and thereby not including atomic or sub-atomic particles. Furthermore, this entry is limited to [[real image|real images]] (optically formed), as opposed to "synthetic" (computed) images ([[computed tomography]], [[confocal microscopy]], SIM and other [[super resolution microscopy]] techniques, etc.).
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With these computing resources available, the task of making measurements from microscope images of particles could now be performed automatically by machine without human intervention, making it possible to measure significantly larger numbers of particles in much less time.
==Imaging Particle Analysis Basic Methodology:==
The basic process by which imaging particle analysis is carried out is as follows:
1.) A digital camera captures an image of the [[field of view]] in the optical system.
2.) A gray scale [[Thresholding (image processing)|thresholding]] process is used to perform [[Image segmentation#Thresholding|image segmentation]], segregating out the particles from the background, creating a [[binary image]] of each particle.
3.) [[Digital image processing]] techniques are used to perform [[image analysis]] operations, resulting in morphological and grey-scale measurements to be stored for each particle.
4.) The measurements saved for each particle are then used to generate image population statistics, or as inputs to algorithms for filtering and sorting the particles into groups of similar types. In some systems, sophisticated [[pattern recognition]] techniques may also be employed in order to separate different particle types contained in a heterogeneous sample.
===Image Acquisition Methods:===
Imaging particle analyzers can be subdivided into two distinct types, static and dynamic. While the basic principles are the same, the methods of image acquisition are different in nature, and each has advantages and disadvantages.
====Static Image Acquisition:====
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