Understanding the interactions of structured communities known as “biofilms” and other complex matrixes is possible through the X-ray micro tomography imaging of the biofilms. Feature detection and image processing for this type of data focuses on efficiently identifying and segmenting biofilms and bacteria in the datasets. The datasets are very large and often require manual interventions due to low contrast between objects and high noise levels. Thus new software is required for the effectual interpretation and analysis of the data. This work specifies the evolution and application of the ability to analyze and visualize high resolution X-ray micro tomography datasets.
Revised: April 21, 2015 |
Published: August 26, 2014
Citation
Thomas M., M.J. Marshall, E.A. Miller, A.P. Kuprat, K. Kleese van Dam, and J.P. Carson. 2014.3D Imaging of Microbial Biofilms: Integration of Synchrotron Imaging and an Interactive Visualization Interface. In 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 26-30, 2014, Chicago, IL, 3304 - 3307. Piscataway, New Jersey:IEEE.PNNL-SA-103381.doi:10.1109/EMBC.2014.6944329