Antimicrobial Susceptibility Testing through Image Analysis

Munavir, M K (2009) Antimicrobial Susceptibility Testing through Image Analysis. Masters thesis, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore.

[img]
Preview
Text
260603009munavir.pdf

Download (1MB) | Preview

Abstract

Most culture – based microbiology tasks utilize a Petri plate during processing, but rarely do the scientists or microbiologist capture the full information available from the plate. Collecting this data has been limited by the difficulties of standardizing and quantifying human observations. An important task for the diagnostic clinical microbiology laboratory is the detection of clinically relevant antimicrobial susceptibility/resistance in individual isolates. The potential advantages of automation include standardization, which results in increased accuracy; the faster availability of results; improved data management and the possibility for the use of artificial intelligence. Kirby Bauer disk diffusion susceptibility testing merely provides susceptibility category results (susceptible, intermediate, and resistant). On the other hand, measurement of zone sizes is tedious, time – consuming, and fraught with transcription errors. By the help of image analysis data obtained from several centers can be utilized to monitor levels of bacterial resistance to antibiotics. Also we can eliminate the data entry errors by embedding the barcode identification systems in to the analysis software. In this study we have developed an algorithm to automate the measurement of zone of inhibition accurately by analyzing the intensity variations within the image. On comparison with the manual method, the automated method has several advantages and hence can be considered for a widespread adaption. We studied the rate of growth of organism on agar plate and performed the growth curve, from the growth curve obtained, calculated the doubling time which helps for cross checking the class of organism during susceptibility testing. Also attempted to determine the antibiotic susceptibility of microorganism with reduced duration of time to facilitate an early initiation of treatment. A computer based automated image analysis method can be used to perform complicated image processing functions to bring out relevant features like morphological characters that may provide very useful informations but are difficult to extract by conventional means.

Item Type: Thesis (Masters)
Additional Information: Reg no.26073653
Uncontrolled Keywords: Antimicrobial Susceptibility Testing ; Image Analysis.
Subjects: PHARMACY > Pharmaceutical Biotechnology
Depositing User: Ravindran C
Date Deposited: 03 Oct 2017 04:53
Last Modified: 15 May 2018 23:56
URI: http://repository-tnmgrmu.ac.in/id/eprint/3396

Actions (login required)

View Item View Item