title: Imaging bacterial 3D motion using digital in-line holographic microscopy and correlation-based de-noising algorithm.
abstract: Better understanding of bacteria environment interactions in the context of biofilm formation requires accurate 3-dimentional measurements of bacteria motility. Digital Holographic Microscopy (DHM) has demonstrated its capability in resolving 3D distribution and mobility of particulates in a dense suspension. Due to their low scattering efficiency, bacteria are substantially difficult to be imaged by DHM. In this paper, we introduce a novel correlation-based de-noising algorithm to remove the background noise and enhance the quality of the hologram. Implemented in conjunction with DHM, we demonstrate that the method allows DHM to resolve 3-D E. coli bacteria locations of a dense suspension (>107cells/ml) with submicron resolutions (<0.5 µm) over substantial depth and to obtain thousands of 3D cell trajectories.
authors.forename: Mehdi
authors.initials: M
authors.lastname: Molaei
authors.forename: Jian
authors.initials: J
authors.lastname: Sheng
mesh_terms: D000465:Algorithms; D058948:Cell Tracking / Q000379:methods*; D004926:Escherichia coli / Q000166:cytology* / Q000502:physiology*; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity