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and flattened using a maximal projection algorithm.
Images were acquired as z-stacks using depth brightness correction, and a maximal projection algorithm was used for 3D reconstruction.
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Furthermore, many authors have introduced the hybrid projection algorithm for finding the zero point of maximal monotones such as [12] and other references.
Maximal projection of z stacks was performed, deconvolved by Image J or Autoquant X3 software using a theoretical point spread function algorithm, and merged with a DAPI signal for quantification of localization.
Acquired images (z-series stacks) were first converted to projection images (with maximal projection option) for analyses.
Z-stack images were output as a maximal projection of multiple z-planes.
(c) Projection of the heatmap created by the back projection algorithm, on the x y plane.
The tomographic data were reconstructed using the filtered back projection algorithm.
LCS carried out the image maximal projection.
Motivated and inspired by the work mentioned above, in this paper, we introduce a new hybrid projection algorithm for a pair of total quasi-ϕ-asymptotically nonexpansive mappings for finding a set of solutions of the equilibrium problem, a zero point of maximal monotone operators, and a set of solutions of the variation inequality in a uniformly smooth and strictly convex Banach space.
Alternating projection algorithm is used to obtain a stable solution.
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