U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings

• Published in: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 3602 - 3604
• Main Authors: Gurung, Bichar Dip Shrestha, Devadig, Ramesh, Do, Tuyen, Gadhamshetty, Venkataramana, Gnimpieba, Etienne Z.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.12.2022
• Subjects: 2D material; biofilms; Grain boundaries; Graphene; Image segmentation; microbial cells; Nickel; Nonhomogeneous media; Scanning electron microscopy; segmentation; Training; U-Net

Bacterial adhesion to the metallic surfaces creates a complex biofilm network, resulting in many problems like corrosion and fouling. Precise quantitative analysis of the surface coverage of cells can be vital in decoding biofilm-related issues. We present a deep learning-based approach to automate...