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A fish fillet processor processes fish into a fillet. Fish processing starts from the time the fish is caught. Popular species processed include cod, hake, haddock, tuna, herring, mackerel, salmon and pollock . Commercial fish processing is a global practice. Processing varies regionally in productivity, type of operation, yield and regulation.
The purpose of using RNA FISH is to detect target mRNA transcripts in cells, tissue sections, or even whole-mounts. [10] The process is done in 3 main procedures: tissue preparation (pre-hybridization), hybridization, and washing (post-hybridization). The tissue preparation starts by collecting the appropriate tissue sections to perform RNA FISH.
This 16th-century fish stall shows many traditional fish products. The term fish processing refers to the processes associated with fish and fish products between the time fish are caught or harvested, and the time the final product is delivered to the customer. Although the term refers specifically to fish, in practice it is extended to cover ...
Histogram matching. In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed. [2]
Super-resolution imaging. Super-resolution imaging (SR) is a class of techniques that enhance (increase) the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.
Rasterisation. In computer graphics, rasterisation (British English) or rasterization (American English) is the task of taking an image described in a vector graphics format (shapes) and converting it into a raster image (a series of pixels, dots or lines, which, when displayed together, create the image which was represented via shapes). [1][2 ...
Digital image processing. Digital image processing is the use of a digital computer to process digital images through an algorithm. [1][2] As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data ...
Tomographic reconstruction: Projection, Back projection and Filtered back projection. Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for tomographic imaging was laid down by Johann Radon.