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Example of a deconvolved microscope image. In optics and imaging, the term "deconvolution" is specifically used to refer to the process of reversing the optical distortion that takes place in an optical microscope, electron microscope, telescope, or other imaging instrument, thus creating clearer images.
The images below present a simple opening-by-reconstruction example which extracts the vertical strokes from an input text image. Since the original image is converted from grayscale to binary image, it has a few distortions in some characters so that same characters might have different vertical lengths.
For example, an electron at an energy of 10 keV has a wavelength of 0.01 nm, allowing the electron microscope (SEM or TEM) to achieve high resolution images. Other massive particles such as helium, neon, and gallium ions have been used to produce images at resolutions beyond what can be attained with visible light.
Rock and dust samples retrieved by NASA from the asteroid Bennu exhibit some of the chemical building blocks of life, according to research that provides some of the best evidence to date that ...
It reconstructs images from individual photon count events taking into account the Poisson statistics of the counts and an instrument response function. It splits the sky emission into an image of diffuse emission and one of point sources, exploiting the different correlation structure and statistics of the two components for their separation.
Image credits: Taylor Hill/Getty Images The movie follows a group of high school students who create a fake university, the South Harmon Institute of Technology (S.H.I.T.), after being rejected by ...
Stock image of Ozempic. ... While this study does acknowledge that it’s limited by “modest sample size and short-term treatment duration,” it notes that if GLP-1 medications prove to help ...
In mathematical morphology and digital image processing, a top-hat transform is an operation that extracts small elements and details from given images.There exist two types of top-hat transform: the white top-hat transform is defined as the difference between the input image and its opening by some structuring element, while the black top-hat transform is defined dually as the difference ...