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

Abstract

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.

Comparing synthetic refocusing to deconvolution for the extraction of neuronal calcium transients from light-fields

“…We used the original light field microscope design [6]. Fourier light field microscopy, where the microlens array is placed at the aperture stop of the microscope objective instead of the image plane, has also been shown to improve the lateral sampling rate even in the degenerate native focal plane [29][30][31].…”

“…7 Fourier light-field microscopy, where the microlens array is placed at the aperture stop of the microscope objective instead of the image plane, has also been shown to improve the lateral sampling rate even in the degenerate native focal plane. [32][33][34] Both synthetic refocusing and 3D deconvolution reconstruction algorithms rely on ballistic photons, limiting their application in highly scattering mammalian brains. To minimize scattering, we used a red-emitting calcium dye, CaSiR-1 whose emission is less scattered than shorter wavelength emitting fluorophores.…”

Handheld and Cost-Effective Fourier Lightfield Microscope

“…Even though there are other different reconstruction algorithms, based on the deconvolution with a synthetic impulse response [7,14], that can be applied to a Fourier lightfield imaging, in this work easy to implement algorithms with high throughput were utilized. Thus, we used the S&S algorithm in the case of bright-field mode and the S&M algorithm for fluorescence images.…”

“…Fourier lightfield microscopy (FLMic) [1][2][3][4] is a reformulation of lightfield microscopy (LMic) [5][6][7][8][9][10][11] featuring the capacity of capturing directly, in a single shot, a collection of orthographic perspective images of 3D specimens. Due to the linear and spatially shiftinvariant nature of captured views, FLMic is especially suited for easing the postprocessing and therefore for providing depth reconstructions with high and homogeneous resolution over a large depth of field [12][13][14][15]. Despite the short amount of time that has passed since FLMic was first reported [1], the number of applications for capturing dynamic biomedical images has increased significantly [16][17][18][19][20][21].…”

Far-field intensity signature of sub-wavelength microscopic objects

“…Superresolving optical microscopy becomes increasingly important in medical and biological applications, in nanotechnology, material science etc. Recent advances in computational imaging [1,2] and deep learning [3] reopen the question of how much resolution can be enhanced by data completition methods [4,5,6,7,8]. While scanning near-field optical * rafalk@fuw.edu.pl microscopy [9] as well as techniques based on fluorescence microscopy [10] allow to reach a deeply sub-wavelength resolution down to the order of several nanometers, the resolution of classical optical imaging is restricted by the Abbe diffraction limit.…”