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Proceedings Paper

Rapid detection of malignant bio-species using digital holographic pattern recognition and nanophotonics
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Paper Abstract

There is a great need for rapid detection of bio-hazardous species particularly in applications to food safety and biodefense. It has been recently demonstrated that the colonies of various bio-species could be rapidly detected using culture-specific and reproducible patterns generated by scattered non-coherent light. However, the method heavily relies on a digital pattern recognition algorithm, which is rather complex, requires substantial computational power and is prone to ambiguities due to shift, scale, or orientation mismatch between the analyzed pattern and the reference from the library. The improvement could be made, if, in addition to the intensity of the scattered optical wave, its phase would be also simultaneously recorded and used for the digital holographic pattern recognition. In this feasibility study the research team recorded digital Gabor-type (in-line) holograms of colonies of micro-organisms, such as Salmonella with a laser diode as a low-coherence light source and a lensless high-resolution (2.0x2.0 micron pixel pitch) digital image sensor. The colonies were grown in conventional Petri dishes using standard methods. The digitally recorded holograms were used for computational reconstruction of the amplitude and phase information of the optical wave diffracted on the colonies. Besides, the pattern recognition of the colony fragments using the cross-correlation between the digital hologram was also implemented. The colonies of mold fungi Altenaria sp, Rhizophus, sp, and Aspergillus sp have been also generating nano-colloidal silver during their growth in specially prepared matrices. The silver-specific plasmonic optical extinction peak at 410-nm was also used for rapid detection and growth monitoring of the fungi colonies.

Paper Details

Date Published: 5 March 2013
PDF: 10 pages
Proc. SPIE 8570, Frontiers in Biological Detection: From Nanosensors to Systems V, 85700M (5 March 2013); doi: 10.1117/12.1000111
Show Author Affiliations
Sergey S. Sarkisov, SSS Optical Technologies, LLC (United States)
Tatiana Kukhtareva, Alabama A&M Univ. (United States)
Nickolai V. Kukhtarev, Alabama A&M Univ. (United States)
Michael J. Curley, Alabama A&M Univ. (United States)
Vernessa Edwards, Alabama A&M Univ. (United States)
Marylyn Creer, Alabama A&M Univ. (United States)


Published in SPIE Proceedings Vol. 8570:
Frontiers in Biological Detection: From Nanosensors to Systems V
Benjamin L. Miller; Philippe M. Fauchet, Editor(s)

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