Scanning Evaluation of User Experience, Cognitive Load, and Training Performance of a Gamified Cognitive Training Application for Children With Learning Disabilities Electron Microscope (SEM) as one of the major research and industrial equipment for imaging of micro-scale samples and surfaces has gained extensive attention from its emerge.However, the acquired micrographs still remain two-dimensional (2D).In the current work a novel and highly accurate approach is proposed to recover the hidden third-dimension by use of multi-view image acquisition of the microscopic samples combined with pre/post-processing steps including sparse feature-based stereo rectification, nonlocal-based optical flow estimation for dense matching and finally depth estimation.Employing the proposed approach, three-dimensional (3D) reconstructions of highly complex Acteoside and ursolic acid synergistically protects H2O2-induced neurotrosis by regulation of AKT/mTOR signalling: from network pharmacology to experimental validation microscopic samples were achieved to facilitate the interpretation of topology and geometry of surface/shape attributes of the samples.
As a byproduct of the proposed approach, high-definition 3D printed models of the samples can be generated as a tangible means of physical understanding.Extensive comparisons with the state-of-the-art reveal the strength and superiority of the proposed method in uncovering the details of the highly complex microscopic samples.