Research on cellular and molecular biomechanics-inspired enhancement of visual communication in medical product design via graphic processing algorithm optimization

The computational complexity of graphic processing algorithms is increasing under the continuous development of information technology. At the same time, the medical product design field puts forward higher and higher requirements on the visual communication effect of related images. In this study, the up-sampling optimization algorithm and the threshold filtering algorithm are proposed to optimize the Laplacian graphics processing algorithm. Notably, in the threshold filtering algorithm, the Triangle algorithm is employed to address the grayscale of images pertinent to medical product design. The perception of the grayscale and binarized images by the human visual system triggers neural signals that propagate and can influence intracellular processes. When observing medical product images, neurons fire, leading to the release of neurotransmitters like glutamate. These neurotransmitters bind to receptors on cells, initiating signaling cascades such as the MAPK pathway. This pathway can affect gene expression and protein synthesis, potentially modulating cellular functions related to perception and response to the medical product design. The results show that the optimized graphical processing algorithms in this paper outperform the comparison algorithms in the CLBLAS library, and the floating-point computational values of the Laplacian algorithm are much higher than the comparison algorithms in the face of the large-scale input parameters. The Laplacian algorithm is able to accurately stitch and process the captured 2D images of cellular microtubules related to the design of the medical products in a guaranteed high efficiency (31 min), and The Laplacian algorithm was able to achieve an average subjective score of 0.856 for the visual communication of medical product design images. This graphic processing algorithm can generate images of superior perceptual quality, which holds substantial significance for augmenting the visual communication effect of medical product design images and considering the underlying cellular molecular biomechanical responses.