Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Computer-based classification of bacteria species by analysis of their colonies Fresnel diffraction patterns

[+] Author Affiliations
Agnieszka Suchwalko

Wroclaw Univ. of Technology (Poland) and Medicwave AB (Sweden)

Igor Buzalewicz, Halina Podbielska

Wroclaw Univ. of Technology (Poland)

Proc. SPIE 8212, Frontiers in Biological Detection: From Nanosensors to Systems IV, 82120R (February 9, 2012); doi:10.1117/12.907420
Text Size: A A A
From Conference Volume 8212

  • Frontiers in Biological Detection: From Nanosensors to Systems IV
  • Benjamin L. Miller; Philippe M. Fauchet
  • San Francisco, California, USA | January 21, 2012

abstract

In the presented paper the optical system with converging spherical wave illumination for classification of bacteria species, is proposed. It allows for compression of the observation space, observation of Fresnel patterns, diffraction pattern scaling and low level of optical aberrations, which are not possessed by other optical configurations. Obtained experimental results have shown that colonies of specific bacteria species generate unique diffraction signatures. Analysis of Fresnel diffraction patterns of bacteria colonies can be fast and reliable method for classification and recognition of bacteria species. To determine the unique features of bacteria colonies diffraction patterns the image processing analysis was proposed. Classification can be performed by analyzing the spatial structure of diffraction patterns, which can be characterized by set of concentric rings. The characteristics of such rings depends on the bacteria species. In the paper, the influence of basic features and ring partitioning number on the bacteria classification, is analyzed. It is demonstrated that Fresnel patterns can be used for classification of following species: Salmonella enteritidis, Staplyococcus aureus, Proteus mirabilis and Citrobacter freundii. Image processing is performed by free ImageJ software, for which a special macro with human interaction, was written. LDA classification, CV method, ANOVA and PCA visualizations preceded by image data extraction were conducted using the free software R.

© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Agnieszka Suchwalko ; Igor Buzalewicz and Halina Podbielska
"Computer-based classification of bacteria species by analysis of their colonies Fresnel diffraction patterns", Proc. SPIE 8212, Frontiers in Biological Detection: From Nanosensors to Systems IV, 82120R (February 9, 2012); doi:10.1117/12.907420; http://dx.doi.org/10.1117/12.907420


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.