title: Three-dimensional identification of microorganisms using a digital holographic microscope.
abstract: This paper reports a method for three-dimensional (3D) analysis of shift-invariant pattern recognition and applies to holographic images digitally reconstructed from holographic microscopes. It is shown that the sequential application of a 2D filter to the plane-by-plane reconstruction of an optical field is exactly equivalent to the application of a more general filter with a 3D impulse response. We show that any 3D filters with arbitrary impulse response can be implemented in this way. This type of processing is applied to the two-class problem of distinguishing different types of bacteria. It is shown that the proposed technique can be easily implemented using a modified microscope to develop a powerful and cost-effective system with great potential for biological screening.
authors.affiliation: Shenzhen Key Lab of Wind Power and Smart Grid, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Wu
authors.forename: Xiang
authors.initials: X
authors.lastname: Wu
authors.forename: Tiancai
authors.initials: T
authors.lastname: Liang
mesh_terms: D001431:Bacteriological Techniques / Q000706:statistics & numerical data; D019295:Computational Biology; D004926:Escherichia coli / Q000145:classification / Q000648:ultrastructure; D006696:Holography / Q000379:methods* / Q000706:statistics & numerical data; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D008853:Microscopy / Q000379:methods* / Q000706:statistics & numerical data; D020636:Pantoea / Q000145:classification / Q000648:ultrastructure; D010363:Pattern Recognition, Automated / Q000379:methods / Q000706:statistics & numerical data