Quantitative Analysis System for Bacterial Cells in SEM Image using Deep Learning

In this paper we propose a system to analyze bacteria from a given Scanning Electron Microscope (SEM) image of the bacterial sample. Thousands of bacteria lives in the human gut and recent studies have shown that the quantitative features of the microbiome, such as co-existence ratio of different bacteria, can be indicative of the health condition in humans. Conventional bacteria analysis methods ...