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Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling
School of Computer Engineering, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 501-759 South Korea
Department of Electrical and Computer Engineering, U-2157, University of Connecticut, Storrs, CT 06269-2157, USA
* Author to whom correspondence should be addressed.
Received: 18 June 2010; in revised form: 30 August 2010 / Accepted: 3 September 2010 / Published: 9 September 2010
Abstract: We overview an approach to providing automated three-dimensional (3D) sensing and recognition of biological micro/nanoorganisms integrating Gabor digital holographic microscopy and statistical sampling methods. For 3D data acquisition of biological specimens, a coherent beam propagates through the specimen and its transversely and longitudinally magnified diffraction pattern observed by the microscope objective is optically recorded with an image sensor array interfaced with a computer. 3D visualization of the biological specimen from the magnified diffraction pattern is accomplished by using the computational Fresnel propagation algorithm. For 3D recognition of the biological specimen, a watershed image segmentation algorithm is applied to automatically remove the unnecessary background parts in the reconstructed holographic image. Statistical estimation and inference algorithms are developed to the automatically segmented holographic image. Overviews of preliminary experimental results illustrate how the holographic image reconstructed from the Gabor digital hologram of biological specimen contains important information for microbial recognition.
Keywords: digital holography; 3D microscopy; cell analysis; statistical pattern recognition; medical imaging; bio-sensing
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MDPI and ACS Style
Moon, I.; Yi, F.; Javidi, B. Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling. Sensors 2010, 10, 8437-8451.
Moon I, Yi F, Javidi B. Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling. Sensors. 2010; 10(9):8437-8451.
Moon, Inkyu; Yi, Faliu; Javidi, Bahram. 2010. "Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling." Sensors 10, no. 9: 8437-8451.