Optofluidic system for three-dimensional sensing and identification of micro-organisms with digital holographic microscopy.
Optofluidic devices offer flexibility for a variety of tasks involving biological specimen. We propose a system for three-dimensional (3D) sensing and identification of biological micro-organisms. This system consists of a microfluidic device along with a digital holographic microscope and relevant statistical recognition algorithms. The microfluidic channel is used to house the micro-organisms, while the holographic microscope and a CCD camera record their digital holograms. The holograms can be computationally reconstructed in 3D using a variety of algorithms, such as the Fresnel transform. Statistical recognition algorithms are used to analyze and identify the micro-organisms from the reconstructed wavefront. Experimental results are presented. Because of computational reconstruction of wavefronts in holographic imaging, this technique offers unique advantages that allow one to image micro-organisms within a deep channel while removing the inherent microfluidic-induced aberration through interferometery.
Department of Electrical and Computer Engineering, University of Connecticut, Storrs, Connecticut 06269-2157, USA.
Donghak
D
Shin
Mehdi
M
Daneshpanah
Arun
A
Anand
Bahram
B
Javidi
D006696:Holography / Q000295:instrumentation*; D008829:Microbiology / Q000295:instrumentation*; D046210:Microfluidic Analytical Techniques / Q000379:methods*; D008853:Microscopy / Q000295:instrumentation*; D055620:Optical Phenomena