Abstract
Possibly, and due to poor eating habits and unhealthy lifestyle, many viruses are transmitted to human people. Such is the case, of the novel coronavirus SARS-Cov-2, which has expanded of exponential way, practically, to whole world population. For this reason, the enhancement of real microscopic images of this coronavirus is of great importance. Of this way, one can highlight the S-spikes and visualizing those areas that show a high density, which are related to active zones of viral germination and major spread of the virus. The SARS-Cov-2 images were captured from nasopharyngeal samples of Cuban symptomatic individuals (RT-PCR positives for SARS-CoV-2) and processed via scanning electron microscopy. However, many times these microscopic images present some blurring problems, and the S-spikes do not look well defined. Therefore, the aim of this work is to propose new computational methods to carry out enhancement and segmentation of SARS-Cov-2 high-resolution microscopic images. The proposed strategy obtained very satisfactory results, and we validated its performance, together with specialist physicians, on a set of 1005 images. Due to the importance of the obtained results, this first work will be addressed to the application of the proposed algorithm. A second paper will deeply analyze the theory related to these algorithms.
Highlights
Due to poor eating habits and unhealthy lifestyle, many types of viruses are transmitted to humans
The aim of this work is to propose new computational methods to carry out enhancement and segmentation of SARS-Cov-2 high-resolution microscopic images, which will allow the S-spikes to be highlighted and visualizing those areas that show a high density, which are related to active zones of viral germination and major spread of the virus
The importance of this study is that the new developed algorithms will be applied to the enhancement of microscopic images of the novel coronavirus SARS-Cov-2, which contributes, due to very little information appears in the literature on this issue, to the novelty of this work
Summary
Due to poor eating habits (for instance; ingestion of semi-processed or not very well-cooked foods) and unhealthy lifestyle (few hand hygiene, unnecessary crowding of people, and no use of masks, among others), many types of viruses are transmitted to humans This novel virus, named coronavirus due to visual appearance —under electron microscopy— similar to a crown [1], is the cause of an infectious disease by severe acute respiratory syndrome (SARS-Cov-2) [2], and named by the World Health Organization (WHO): COVID-19. The importance of this study is that the new developed algorithms will be applied to the enhancement of microscopic images of the novel coronavirus SARS-Cov-2, which contributes, due to very little information appears in the literature on this issue, to the novelty of this work This first research will be addressed to application of the proposed algorithm, which it obtained very satisfactory results, and we validated its performance, together with specialist physicians, on a set of 1015 images. The coverslips were sputter-coated with gold (thickness of 10 nm) and viewed under the MIRA3-TESCAN scanning electron microscope at 10 kV [13]
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