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Deconvolution maps to division in the Fourier co-domain. This allows deconvolution to be easily applied with experimental data that are subject to a Fourier transform. An example is NMR spectroscopy where the data are recorded in the time domain, but analyzed in the frequency domain. Division of the time-domain data by an exponential function ...
Cellular deconvolution algorithms have been applied to a variety of samples collected from saliva, [5] buccal, [5] cervical, [5] PBMC, [6] brain, [2] kidney, [1] and pancreatic cells, [1] and many studies have shown that estimating and incorporating the proportions of cell types into various analyses improves the interpretability of high ...
The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function. It was named after William Richardson and Leon B. Lucy , who described it independently.
Deblurring an image using Wiener deconvolution. Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution).
An example spangram with corresponding theme words: PEAR, FRUIT, BANANA, APPLE, etc. Need a hint? Find non-theme words to get hints. For every 3 non-theme words you find, you earn a hint.
As a noun, this word refers to a loose-fitting garment that's worn over a person's clothes. It also means to hide or conceal something from view. OK, that's it for hints—I don't want to totally ...
Some examples of well-rounded breakfasts besides our high-protein overnight oats recipe above include: Egg tacos on corn tortillas with beans, peppers and onions. Chia pudding with fruit and nuts.
TopFD (Top-down mass spectral Feature Detection) is a software tool for top-down spectral deconvolution and a successor to MS-Deconv. It groups top-down spectral peaks into isotopomer envelopes and converts them to monoisotopic neutral masses. In addition, it extracts proteoform features from LC-MS or CE-MS data. Trans-Proteomic Pipeline (TPP)