Viruses • Vol 14 • No 11
SARS-CoV-2 Morphometry Analysis and Prediction of Real Virus Levels Based on Full Recurrent Neural Network Using TEM Images
October 2022 • Bakr Ahmed Taha, Yousif Al Mashhadany, Abdulmajeed Al-Jumaily, Mohd Saiful Dzulkefly Zan, Norhana Arsad
The SARS-CoV-2 virus is responsible for the rapid global spread of the COVID-19 disease. As a result, it is critical to understand and collect primary data on the virus, infection epidemiology, and treatment. Despite the speed with which the virus was detected, studies of its cell biology and architecture at the ultrastructural level are still in their infancy. Therefore, we investigated and analyzed the viral morphometry of SARS-CoV-2 to extract important key points of the virus’s characteristics. Then, we propos…