An imaging system for microbial corrosion analysis

Leonardo Iannucci (1) , Luca Lombardo (1) , Marco Parvis (1) , Pierangela Cristiani (2) , Régine Basséguy (3) , Emma Angelini (1) , Sabrina Grassini (1)

1 Polito - Politecnico di Torino = Polytechnic of Turin
2 RSE - Ricerca sul Sistema Energetico
3 LGC - Laboratoire de Génie Chimique

This paper describes a viable and self-contained imaging system able to assess and quantify the effects of microbial corrosion on metals surface. The proposed image processing uses Scanning Electron Microscope micrographs to analyze bacteria attachment on sample surface and to estimate the degree of degradation of the material. After a preliminary brightness and contrast normalization, which refines the image taken by the operator, the software is able to identify dark spots on the clear metal surface. These are then attributed to singly attached bacteria or to larger clusters, which are the most dangerous ones, as they could overlay corrosion pits. After that, the degradation of the material is evaluated through the quantification of microbial attachment on the surface and through dimensional distribution of bacteria clusters.

Mots clés: Microbial Corrosion; Image Processing; Implants; Scanning Electron Microscopy

Domaines: Génie chimique; Génie des procédés

Leonardo Iannucci, Luca Lombardo, Marco Parvis, Pierangela Cristiani, Régine Basséguy, et al.. An imaging system for microbial corrosion analysis. 2019 IEEE International Instrumentation & Measurement Technology Conference, May 2019, Auckland, New Zealand. pp.1-6, ⟨10.1109/I2MTC.2019.8826965⟩. ⟨hal-02414054⟩