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.

[1]  Bahram Javidi,et al.  Phase-shifting Gabor holography. , 2009, Optics letters.

[2]  Bahram Javidi,et al.  Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography. , 2005, Optics express.

[3]  Bahram Javidi,et al.  Three-dimensional identification of stem cells by computational holographic imaging , 2007, Journal of The Royal Society Interface.

[4]  F. Dubois,et al.  Improved three-dimensional imaging with a digital holography microscope with a source of partial spatial coherence. , 1999, Applied optics.

[5]  B Javidi,et al.  Three-dimensional object recognition by use of digital holography. , 2000, Optics letters.

[6]  B. Javidi,et al.  Real-Time 3D Sensing and Identification of Microorganisms , 2006 .

[7]  Bahram Javidi,et al.  Three-dimensional identification of biological microorganism using integral imaging. , 2006, Optics express.

[8]  Wolfgang Osten,et al.  Reconstruction of in-line digital holograms from two intensity measurements. , 2004, Optics letters.

[9]  A. Ozcan,et al.  Ultra wide-field lens-free monitoring of cells on-chip. , 2008, Lab on a chip.

[10]  A Finizio,et al.  Angular spectrum method with correction of anamorphism for numerical reconstruction of digital holograms on tilted planes. , 2005, Optics express.

[11]  L. Repetto,et al.  Lensless digital holographic microscope with light-emitting diode illumination. , 2004, Optics letters.

[12]  Osamu Matoba,et al.  Three-Dimensional Imaging and Processing Using Computational Holographic Imaging , 2006, Proceedings of the IEEE.

[13]  Bahram Javidi,et al.  3-D Visualization and Identification of Biological Microorganisms Using Partially Temporal Incoherent Light In-Line Computational Holographic Imaging , 2008, IEEE Transactions on Medical Imaging.

[14]  E. Cuche,et al.  Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. , 2005, Optics letters.