Sensors 2010, 10(9), 8437-8451; doi:10.3390/s100908437
Review

Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling

1,* email, 1email and 2email
Received: 18 June 2010; in revised form: 30 August 2010 / Accepted: 3 September 2010 / Published: 9 September 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
PDF Full-text Download PDF Full-Text [852 KB, uploaded 21 June 2014 03:09 CEST]

Export to BibTeX |
EndNote


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.

AMA Style

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.

Chicago/Turabian Style

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.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert