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RESEARCH PRODUCT

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

Anca StefanoiuTobias LasserGabriele ScrofaniGenaro SaavedraManuel Martínez-corral

subject

MicroscopeContext (language use)Image processing02 engineering and technology01 natural scienceslaw.invention010309 opticssymbols.namesakeOpticslaw0103 physical sciencesPhysicsPixelbusiness.industryResolution (electron density)Image planeÒptica021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Opticsddc:MicroscòpiaFourier transformsymbolsDeconvolution0210 nano-technologybusinessImatges Processament

description

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.

10.1364/oe.391189https://pubmed.ncbi.nlm.nih.gov/32549475