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Morphological Group Theory of Soft Matter Structure - A New Mathematics of Natural Image Numbers

Published under licence by IOP Publishing Ltd
, , Citation Ziqiang Zhou 2021 J. Phys.: Conf. Ser. 1995 012069 DOI 10.1088/1742-6596/1995/1/012069

1742-6596/1995/1/012069

Abstract

The accurate understanding and interpretation of the SARS-CoV-2 electron microscope photos (EMP) is of great significance for the scientific treatment of coronary pneumonia and precise strategy. Here I study the image mathematics and physics description of micro-images of soft matter system by the morphology group theory of material structure, and show that there is a natural image numbers equation, which can be used to describe not only the common feature of soft matter structure, but also to correct classify the states into different classes, so that to study the morphology physics for soft matter science and biology, some important basic concepts of biophysics, such as the central dogma of molecular biology, Gene sequence analysis, heuristic recognition of SARS-CoV-2 can also be newly explained and understood by the equation.

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10.1088/1742-6596/1995/1/012069