Share Email Print

Proceedings Paper

Development and optimization of two-dimensional centering algorithm for bacterial rapid detection system using forward scattering
Author(s): Euiwon Bae; Andry Lesmana; Arun K. Bhunia; J. Paul Robinson; E. Daniel Hirleman
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Time needed for detection and identification of bacteria can be much shortened using the unique light-scattering pattern after being exposed to the laser source from the new platform named BARDOT (Bacteria Rapid Detection using Optical scattering Technology). The resulting pattern is compared to the compiled pattern library to search for similarity, hence determine the types of bacteria. The system consists of a laser source, an imaging camera, a scattering camera, and a two-dimensional stage. First the imaging camera captures the image of the sample on Petri-dish and locates the center coordinate locations of each cluster. Then the two-dimensional stage translates the Petri-dish such that the incident laser beam is upon the individual sample cluster and performs a centering process which is an fine-adjustment to capture a concentric scattering pattern. The displacement of the platform during this process is determined from the difference of the centroid of the laser beam without sample and that of scattered laser beam with sample. Using MATLAB to design and test the centering algorithm, the time taken for the centering algorithm can be minimized by generating a linear relationship between the lateral distance of the sample movement and the difference of the centroid. The initial algorithm utilized the non-linear relationship without any compensation of the difference of the centroid value. Thus it took multiple steps of motions to reach the center location if the difference of colony center to the laser center is larger than the radius of the sample cluster. With the help of newly designed algorithm, a linear relationship is achieved via identifying the specific location of the starting point of centering algorithm and compensating the corresponding centroid difference to match the actual displacement. Therefore the total time needed to satisfy the centeredness of the scattering pattern is minimized.

Paper Details

Date Published: 12 February 2008
PDF: 8 pages
Proc. SPIE 6849, Design and Quality for Biomedical Technologies, 684905 (12 February 2008); doi: 10.1117/12.763478
Show Author Affiliations
Euiwon Bae, Purdue Univ. (United States)
Andry Lesmana, Purdue Univ. (United States)
Arun K. Bhunia, Purdue Univ. (United States)
J. Paul Robinson, Purdue Univ. (United States)
E. Daniel Hirleman, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 6849:
Design and Quality for Biomedical Technologies
Ramesh Raghavachari; Rongguang Liang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?