Mabaso, MTwala, BWithey, Daniel J2018-05-182018-05-182013-09Mabaso, M., Twala, B. and Withey, D.J. 2013. Quantitative comparison of two particle tracking methods in fluorescence microscopy images. BRICS-CCI & CBIC 2013, Brazil, 8-11 September 2013978-1-4799-3194-1https://ieeexplore.ieee.org/document/6855915/DOI: 10.1109/BRICS-CCI-CBIC.2013.106http://hdl.handle.net/10204/10220Copyright: 2013 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the published item. For access to the published item, please consult the publisher's website.Tracking of multiple bright particles (spots) in fluorescence microscopy image sequences is seen as a crucial step in understanding complex information in the cell. However, fluorescence microscopy generates high a volume of noisy image data that cannot be analysed efficiently by means of manual analysis. In this study we compare the performance of two computer-based tracking methods for tracking of bright particles in fluorescence microscopy image sequences. The methods under comparison are, Interacting Multiple Model filter and Feature Point Tracking. The performance of the methods is validated using synthetic but realistic image sequences and real images. The results from experiments show that the Interacting Multiple Model filter performed best, under the test conditions.enFluorescence microscopy imagesFeature Point TrackingInteracting Multiple Model filterElectrical engineeringConference PresentationMabaso, M., Twala, B., & Withey, D. J. (2013). Quantitative comparison of two particle tracking methods in fluorescence microscopy images. IEEE. http://hdl.handle.net/10204/10220Mabaso, M, B Twala, and Daniel J Withey. "Quantitative comparison of two particle tracking methods in fluorescence microscopy images." (2013): http://hdl.handle.net/10204/10220Mabaso M, Twala B, Withey DJ, Quantitative comparison of two particle tracking methods in fluorescence microscopy images; IEEE; 2013. http://hdl.handle.net/10204/10220 .TY - Conference Presentation AU - Mabaso, M AU - Twala, B AU - Withey, Daniel J AB - Tracking of multiple bright particles (spots) in fluorescence microscopy image sequences is seen as a crucial step in understanding complex information in the cell. However, fluorescence microscopy generates high a volume of noisy image data that cannot be analysed efficiently by means of manual analysis. In this study we compare the performance of two computer-based tracking methods for tracking of bright particles in fluorescence microscopy image sequences. The methods under comparison are, Interacting Multiple Model filter and Feature Point Tracking. The performance of the methods is validated using synthetic but realistic image sequences and real images. The results from experiments show that the Interacting Multiple Model filter performed best, under the test conditions. DA - 2013-09 DB - ResearchSpace DP - CSIR KW - Fluorescence microscopy images KW - Feature Point Tracking KW - Interacting Multiple Model filter KW - Electrical engineering LK - https://researchspace.csir.co.za PY - 2013 SM - 978-1-4799-3194-1 T1 - Quantitative comparison of two particle tracking methods in fluorescence microscopy images TI - Quantitative comparison of two particle tracking methods in fluorescence microscopy images UR - http://hdl.handle.net/10204/10220 ER -