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.
Stefanoiu, A., Scrofani, G., Saavedra, G., Martínez-Corral, M., & Lasser, T. (2020). What about computational super-resolution in fluorescence Fourier light field microscopy? Optics Express, 28(11), 16554. https://doi.org/10.1364/oe.391189