Mechanics of Bacterial Biofilms on Surgical Sutures


Biofilms represent bacterial communities that attach to implanted medical devices such as sutures and catheters. When detached from implants within the body, biofilms can cause chronic infections. This study used Simpleware software to generate image-based microscopic Finite Element (FE) models from confocal laser scanning microscopy scans of real biofilm colonies attached to a surgical suture fragment. The goal of the study was to predict how suture deformation affects the behavior of biofilm colonies. The FE method was used to solve continuum mechanics equations for various loading cases, enabling the simulation of the effect of tension, torsion and bending of a biomaterial structure on biofilm movement and detachment.

Key Characteristics:

  • CLSM used to obtain 3D images of biofilm and suture fragment
  • Simpleware software used to segment images and generate multi-part meshes
  • Simulation of mechanical behaviour in response to non-uniform macroscopic loads in Abaqus
  • Results provide new insights into interaction of biofilm colonies with implants


Thanks to

  • National Centre for Advanced Tribology at Southampton (nCATS): G. Limbert • P. Stoodley
  • University Hospital Southampton NHS Foundation Trust: L. Hall-Stoodley
  • University of Pittsburgh School of Medicine: S. Kathju


Engineering and Physical Sciences Research Council (EPSRC) (Grant EP/F034296/1); University of Southampton

Biofilm Preparation and Imaging

Biofilms were grown from Staphylococcus aureus, a clinical methicillin resistant (MRSA) strain of bacteria. Red and black colonies were selected and re-streaked out until a single black colony phenotype remained. Pieces of size 4 Ti-Cron™ braided polyester were cut into ~2-cm lengths and combined with the bacteria.

The suture and the biofilm were then imaged using confocal laser scanning microscopy (CLSM), specifically a Leica DM RXE upright microscope attached to a TCS SP2 AOBS confocal system. 3D image stacks were collected using different zoom settings and Z-slices.

Image Segmentation and Meshing

The CLSM images were loaded in Simpleware ScanIP as three image stacks, with each stack corresponding to a RGB channel containing 28 images. Semi-manual image segmentation involved extracting closed surfaces corresponding to the 3D boundaries of the suture and a series of disconnected 3D surfaces corresponding to the biofilm phase.

The 3D segmented surfaces were converted into a volume mesh in Simpleware FE, and were optimized to prevent the creation of an excessively high number of finite elements. An adaptive meshing technique was used to preserve surface topologies, and sub-regions were meshed as independent disconnected regions with node and face-matching contact interfaces for multi-part modelling.

Simulation of Mechanical Behavior

FE meshes and contact surfaces were exported directly to Abaqus/CAE/Standard, and material properties were defined for each sub-structure. Boundary and loading conditions were also adapted from the literature in order to simulate tension, bending and twisting of the suture, and their effect on biofilm displacement. Simulation results particularly indicated the importance of substrate deformation on biofilm detachment, and the influence of the structural anisotropy of the suture material.

The effectiveness of the simulation demonstrated the potential for future research into biomaterials, and the method’s wider applications to investigating fluid-structure interactions in implants, as well as to tissue engineering.