The detection and summation of squamous epithelial cells for sputum quality testing

Sputum is mucus that coughs up from the lower airways, which consists of cells such as squamous epithelial cells (SEC), pus cells, macrophages and other cells. SEC that found in sputum is an epithelium characterized by its most superficial layer consisting of flat cells, known as skin cells. Sputum...

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Main Author: Nur Shahida, Nawi
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/4566/
http://umpir.ump.edu.my/id/eprint/4566/
http://umpir.ump.edu.my/id/eprint/4566/1/cd6711_73.pdf
id ump-4566
recordtype eprints
spelling ump-45662015-03-03T09:19:48Z http://umpir.ump.edu.my/id/eprint/4566/ The detection and summation of squamous epithelial cells for sputum quality testing Nur Shahida, Nawi TK Electrical engineering. Electronics Nuclear engineering Sputum is mucus that coughs up from the lower airways, which consists of cells such as squamous epithelial cells (SEC), pus cells, macrophages and other cells. SEC that found in sputum is an epithelium characterized by its most superficial layer consisting of flat cells, known as skin cells. Sputum with good quality is important to detect diseases. The quality of sputum is determined using Bartlett‟s Criteria by considering the score of SEC, pus cell (neutrophils) and macroscopy. If the total score is 1 and above, the sputum will be cultured and the specimens will be proceed accordingly. Whereas if the total score is 0 and below, the process of sputum will stop. For squamous epithelial cells, the score is 0 if SEC is less than 10. Whereas if SEC is between 10 to 25, the score is -1 and the score is -2 if the number of SEC is greater than 25. Currently, the detection of SEC in sputum is manually done by technologists. However, the problems if the human do are time consuming and human constraint. So, another method is needed which is by automated vision system using image processing technique in. Image processing such as image segmentation is used to detect and count the number of SEC. Then, the result of SEC is displayed using graphical user interface (GUI). The advantage of GUI is to make computer operation more intuitive and thus easier to use. In conclusion, squamous epithelial cells can be detected using image processing and the score of SEC is determined. Lastly, the percentage of error for this project is calculated. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4566/1/cd6711_73.pdf Nur Shahida, Nawi (2012) The detection and summation of squamous epithelial cells for sputum quality testing. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:73790&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nur Shahida, Nawi
The detection and summation of squamous epithelial cells for sputum quality testing
description Sputum is mucus that coughs up from the lower airways, which consists of cells such as squamous epithelial cells (SEC), pus cells, macrophages and other cells. SEC that found in sputum is an epithelium characterized by its most superficial layer consisting of flat cells, known as skin cells. Sputum with good quality is important to detect diseases. The quality of sputum is determined using Bartlett‟s Criteria by considering the score of SEC, pus cell (neutrophils) and macroscopy. If the total score is 1 and above, the sputum will be cultured and the specimens will be proceed accordingly. Whereas if the total score is 0 and below, the process of sputum will stop. For squamous epithelial cells, the score is 0 if SEC is less than 10. Whereas if SEC is between 10 to 25, the score is -1 and the score is -2 if the number of SEC is greater than 25. Currently, the detection of SEC in sputum is manually done by technologists. However, the problems if the human do are time consuming and human constraint. So, another method is needed which is by automated vision system using image processing technique in. Image processing such as image segmentation is used to detect and count the number of SEC. Then, the result of SEC is displayed using graphical user interface (GUI). The advantage of GUI is to make computer operation more intuitive and thus easier to use. In conclusion, squamous epithelial cells can be detected using image processing and the score of SEC is determined. Lastly, the percentage of error for this project is calculated.
format Undergraduates Project Papers
author Nur Shahida, Nawi
author_facet Nur Shahida, Nawi
author_sort Nur Shahida, Nawi
title The detection and summation of squamous epithelial cells for sputum quality testing
title_short The detection and summation of squamous epithelial cells for sputum quality testing
title_full The detection and summation of squamous epithelial cells for sputum quality testing
title_fullStr The detection and summation of squamous epithelial cells for sputum quality testing
title_full_unstemmed The detection and summation of squamous epithelial cells for sputum quality testing
title_sort detection and summation of squamous epithelial cells for sputum quality testing
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/4566/
http://umpir.ump.edu.my/id/eprint/4566/
http://umpir.ump.edu.my/id/eprint/4566/1/cd6711_73.pdf
first_indexed 2023-09-18T21:59:16Z
last_indexed 2023-09-18T21:59:16Z
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