| Research Title |
Cancer Cell Segmentation and Counting using Watershed Transforms
|
| Date of Distribution |
16 December 2015 |
| Conference |
| Title of the Conference |
3th International Conference on Science and Engineering Research (ICSER) |
| Organiser |
global research & development services |
| Conference Place |
Asian Institute of Technology(AIT) |
| Province/State |
bangkok/thailand |
| Conference Date |
16 December 2015 |
| To |
17 December 2015 |
| Proceeding Paper |
| Volume |
1 |
| Issue |
1 |
| Page |
25-26 |
| Editors/edition/publisher |
Hema Khatwani |
| Abstract |
Abstract Nowadays, computer technology plays many important roles in several disciplines, including the biomedical research and development. The cancer research field also takes benefit from computer technology, such as monitoring the cellular behavior of cancer and the analysis of the results. The migration-invasion assay is one of the in vitro experiments used to evaluate the spreading potential of cancer cells from primary site of tumor to other organs. The results of experiment provide the pictures of stained cells and need to be counted cells number to determine the ability of movement. The researchers in cancer research field usually count the migrated and invaded cells, manually, under microscope or using Image J software as an assisting tool after taking photos. These processes of cell counting become the gold standard for cell number determination. However, the manual counting of cells is time consuming, subjective and needs experienced practitioners which, sometimes, resulting in inaccurate of the results. This present study attempted to develop an alternative method to determine cells number using digital image processing technique based on Watershed transform algorithm. The results from migration-invasion assay of bile duct cancer cell line was used as a preliminary model of study (total n = 10). In this study the averaged results of cell counting from three blinded experienced researchers in cancer field was used as standard for result of program’s counting. The results in each picture by developed program were 97.01% accuracy comparing to the standard. The average time of processing per picture was 4.28 minute. These preliminary results were satisfying and can be a model to develop program to be more accurate. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
true |
| Award Title |
BEST PAPER PRESENTER |
| Type of award |
รางวัลด้านวิชาการ วิชาชีพ |
| Organiser |
global research & development services |
| Date of awarding |
17 ธันวาคม 2558 |
| Attach file |
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| Citation |
0
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Publication
Journal Publication
ไทย