Mabaso, MTwala, BWithey, Daniel JUtete, S2012-10-312012-10-312012-10Mabaso, 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 2012http://hdl.handle.net/10204/62574th CSIR Biennial Conference: Real problems relevant solutions, CSIR, Pretoria, 9-10 October 2012Detection 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.enFluorescence microscopymRNAmessenger Ribonucleic AcidIsotropic Undecimated Wavelet TransformIUWTFeature Particle DetectionFPDAlgorithmsParticle detectionNoiseConference PresentationMabaso, M., Twala, B., Withey, D. J., & Utete, S. (2012). Performance evaluation of spot detection algorithms in fluorescence microscopy images. http://hdl.handle.net/10204/6257Mabaso, M, B Twala, Daniel J Withey, and S Utete. "Performance evaluation of spot detection algorithms in fluorescence microscopy images." (2012): http://hdl.handle.net/10204/6257Mabaso M, Twala B, Withey DJ, Utete S, Performance evaluation of spot detection algorithms in fluorescence microscopy images; 2012. http://hdl.handle.net/10204/6257 .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 -