3D imaging and visualization of biological microorganisms

Author

Javidi, Bahram ; Moon, Inkyu ; Yeom, Seokwon

Author_Institution

Dept. of Electr. & Comput. Eng., Connecticut Univ., Storrs, CT

fYear

2006

fDate

Oct. 2006

Firstpage

709

Lastpage

710

Abstract

In summary, the auto-focused 3D image from the SEOL digital hologram of a 3D microorganism by use of Fresnel transformation algorithms is reconstructed. The 3D images obtained with SEOL digital holographic microscopy have been segmented, feature-extracted and analyzed by digital image processing techniques. Then, the graph matching technique and the statistical sampling and inference algorithms have been applied to 3D morphology-based and shape-independent 3D recognition of biological microorganisms, respectively. Experimental results are presented to illustrate the robustness of the 3D recognition system

Keywords

biological techniques; biology computing; feature extraction; holography; image recognition; microorganisms; optical microscopy; statistical analysis; 3D visualization; Fresnel transformation algorithm; SEOL digital holographic microscopy; auto-focused 3D imaging; biological microorganism; digital image processing technique; feature-extraction; graph matching technique; inference algorithm; shape-independent 3D recognition; single-exposure on-line digital hologram; statistical sampling; Digital images; Holography; Image analysis; Image reconstruction; Image sampling; Image segmentation; Inference algorithms; Microorganisms; Microscopy; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Lasers and Electro-Optics Society, 2006. LEOS 2006. 19th Annual Meeting of the IEEE

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-9555-7

Electronic_ISBN

0-7803-9555-7

Type

conf

DOI

10.1109/LEOS.2006.278929

Filename

4054381