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- W2307190337 abstract "Microscopic count and size measurement of bacteria are necessary for microbiological work. Staphylococci are one of the most frequently found bacteria in food industry and hospitals. However, an expert is needed for such count. He needs to perform at least 10 visual counts, which cause eye strain and are time consuming. This research proposes the developed software, namely Micros-Staph, to aid in the microscopic count of these bacteria as well as the size measurement of the individual cell using extracted features from image processing techniques. These features are used to train Support Vector Machine (SVM) to differentiate the bacterial colony from noises in the images. Therefore, the number of colony can be easily counted. The cell size is obtained by comparing the number of pixels on the stage micrometer with the cell bounding box at the smallest area found after angle rotation. The experimental results show that the extracted features can be used to count the number of colony effectively. The number of colony counted by SVM provides a linear relationship with those counted by the experts at the correlation value (r 2 ) of 0.99 and 0.98 for the images captured with 400 and 1,000 times of magnification, respectively. Additionally, the time of microscopic count spent by the Micros-Staph software is reduced by more than half. The cell size measured by the software is 0.5 – 0.9 μm in diameter which is absolutely correlated to the actual cell size of staphylococci." @default.
- W2307190337 created "2016-06-24" @default.
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- W2307190337 date "2014-01-01" @default.
- W2307190337 modified "2023-09-24" @default.
- W2307190337 title "Image Processing and SVM Application for Microscopic Counting and Size Measuring of Staphylococci" @default.
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