A Lecturer from the Communications Engineering Department publishes a research on estimating the density of surface proteins of the SARS-CoV-2 virus

A Lecturer from the Communications Engineering Department publishes a research on estimating the density of surface proteins of the SARS-CoV-2 virus using the advanced imaging segmentation technique

The Assistant Head of the Communications Engineering Department for Administrative Affairs, Lecturer Dr. Qusay Salem Tawfiq, published a scientific research entitled. (Density estimation of SARS-CoV 2 spike proteins using super-pixels segmentation technique)

This paper proposes a modern method for medical image analysis that uses a technique

(super-pixels segmentation)

   To estimate the density of proteins on the surface of pneumonia viruses, which are the cause of transmission and infection of healthy cells in the human body. In this research, images of the SARS-CoV-2 virus taken using a nanometer-sectional technique using an electron microscope were adopted.

The research concluded that the density of proteins is one of the most important factors for determining the severity of the infection, the extent of the development of the disease diagnosis, as well as the level of treatment and the patient's recovery after undergoing the approved treatment protocols.

This research is of great scientific importance and can be used in diagnosis and monitoring the level of recovery by adopting a rapid technique in the imaging analysis of the virus.

The research has been published in the journal Applied soft computing published by the international publishing house Elsevier with an impact factor of 8.263 and is located in the first quarter Q1 within the Clarivate index with a site score of 12.4.