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What about computational super-resolution in fluorescence Fourier light field microscopy?

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What about computational super-resolution in fluorescence Fourier light field microscopy?

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Stefanoiu, Anca; Scrofani, G.; Saavedra Tortosa, Genaro; Martínez Corral, Manuel; Lasser, Tobias
Aquest document és un/a article, creat/da en: 2020

Recently, Fourier light field microscopy was proposed to overcome the limitations in conventional light field microscopy by placing a micro-lens array at the aperture stop of the microscope objective instead of the image plane. In this way, a collection of orthographic views from different perspectives are directly captured. When inspecting fluorescent samples, the sensitivity and noise of the sensors are a major concern and large sensor pixels are required to cope with low-light conditions, which implies under-sampling issues. In this context, we analyze the sampling patterns in Fourier light field microscopy to understand to what extent computational super-resolution can be triggered during deconvolution in order to improve the resolution of the 3D reconstruction of the imaged data.
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