dc.contributor.author |
Mabaso, M
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|
dc.contributor.author |
Twala, B
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|
dc.contributor.author |
Withey, Daniel J
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dc.contributor.author |
Utete, S
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dc.date.accessioned |
2012-10-31T13:05:11Z |
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dc.date.available |
2012-10-31T13:05:11Z |
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dc.date.issued |
2012-10 |
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dc.identifier.citation |
Mabaso, M, Twala, B, Withey, D.J. and Utete, S. Performance evaluation of spot detection algorithms in fluorescence microscopy images. 4th CSIR Biennial Conference: Real problems relevant solutions, CSIR, Pretoria, 9-10 October 2012 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/6257
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|
dc.description |
4th CSIR Biennial Conference: Real problems relevant solutions, CSIR, Pretoria, 9-10 October 2012 |
en_US |
dc.description.abstract |
Detection of messenger Ribonucleic Acid (mRNA) spots in fluorescence microscopy images is of great importance for biologists seeking better understanding of cell functionality. Fluorescence microscopy and specific staining methods make biological molecules appear as bright spots in image data. Manual analysis of such data is both time-consuming and laborious, and can lead to errors. In this study, we compare two computer-based detection methods used in fluorescence microscopy images for the detection of spots. The algorithms compared are the Isotropic Undecimated Wavelet Transform (IUWT) and the Feature Particle Detection (FPD). The performance of these algorithms is validated on synthetic images.
Our study finds a major difference in the performance of the two algorithms. IUWT performs better than FPD. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Fluorescence microscopy |
en_US |
dc.subject |
mRNA |
en_US |
dc.subject |
messenger Ribonucleic Acid |
en_US |
dc.subject |
Isotropic Undecimated Wavelet Transform |
en_US |
dc.subject |
IUWT |
en_US |
dc.subject |
Feature Particle Detection |
en_US |
dc.subject |
FPD |
en_US |
dc.subject |
Algorithms |
en_US |
dc.subject |
Particle detection |
en_US |
dc.subject |
Noise |
en_US |
dc.title |
Performance evaluation of spot detection algorithms in fluorescence microscopy images |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Mabaso, M., Twala, B., Withey, D. J., & Utete, S. (2012). Performance evaluation of spot detection algorithms in fluorescence microscopy images. http://hdl.handle.net/10204/6257 |
en_ZA |
dc.identifier.chicagocitation |
Mabaso, M, B Twala, Daniel J Withey, and S Utete. "Performance evaluation of spot detection algorithms in fluorescence microscopy images." (2012): http://hdl.handle.net/10204/6257 |
en_ZA |
dc.identifier.vancouvercitation |
Mabaso M, Twala B, Withey DJ, Utete S, Performance evaluation of spot detection algorithms in fluorescence microscopy images; 2012. http://hdl.handle.net/10204/6257 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mabaso, M
AU - Twala, B
AU - Withey, Daniel J
AU - Utete, S
AB - Detection of messenger Ribonucleic Acid (mRNA) spots in fluorescence microscopy images is of great importance for biologists seeking better understanding of cell functionality. Fluorescence microscopy and specific staining methods make biological molecules appear as bright spots in image data. Manual analysis of such data is both time-consuming and laborious, and can lead to errors. In this study, we compare two computer-based detection methods used in fluorescence microscopy images for the detection of spots. The algorithms compared are the Isotropic Undecimated Wavelet Transform (IUWT) and the Feature Particle Detection (FPD). The performance of these algorithms is validated on synthetic images.
Our study finds a major difference in the performance of the two algorithms. IUWT performs better than FPD.
DA - 2012-10
DB - ResearchSpace
DP - CSIR
KW - Fluorescence microscopy
KW - mRNA
KW - messenger Ribonucleic Acid
KW - Isotropic Undecimated Wavelet Transform
KW - IUWT
KW - Feature Particle Detection
KW - FPD
KW - Algorithms
KW - Particle detection
KW - Noise
LK - https://researchspace.csir.co.za
PY - 2012
T1 - Performance evaluation of spot detection algorithms in fluorescence microscopy images
TI - Performance evaluation of spot detection algorithms in fluorescence microscopy images
UR - http://hdl.handle.net/10204/6257
ER -
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en_ZA |