Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/108641
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Type: | Conference paper |
Title: | A novel flash detection algorithm for single molecule counting with TIRF microscopy |
Author: | Radford, J. Wang, L. Li, J. Coad, B. McFarland, C. Nordon, R. |
Citation: | Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging, 2013, pp.1066-1069 |
Publisher: | IEEE |
Issue Date: | 2013 |
Series/Report no.: | IEEE International Symposium on Biomedical Imaging |
ISBN: | 9781467364546 |
ISSN: | 1945-7928 1945-8452 |
Conference Name: | 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013) (7 Apr 2013 - 11 Apr 2013 : San Francisco, California) |
Statement of Responsibility: | Joseph Radford, Liyuan Wang, JingJing Li, Bryan R. Coad, Clive D. McFarland, Robert E. Nordon |
Abstract: | A novel algorithm, Adjacent Pixel Temporal Intensity Correlation (APTIC), was developed to detect single fluorescent molecules by their stochastic emission patterns; photoblinking and photobleaching. The algorithm was evaluated using simulated image data and Total Internal Reflection Fluorescence Microscopy (TIRF-M) to count the number fluorescently labelled protein molecules adsorbed onto glass substrates modified by Radio Frequency Glow Discharge (RFGD) deposition. By selecting an appropriate correlation threshold, the algorithm was capable of detecting synthetic flashes with a signal-to-noise ratio (SNR) as low as 2.0 with 90% sensitivity. The methodology holds great promise for mapping the amount and distribution of biomolecules on surfaces. |
Keywords: | TIRF-M, single molecule imaging, protein adsorption, flash detection |
Rights: | © 2013 IEEE |
DOI: | 10.1109/ISBI.2013.6556662 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/631931 |
Published version: | http://dx.doi.org/10.1109/isbi.2013.6556662 |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 8 |
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RA_hdl_108641.pdf Restricted Access | Restricted Access | 666.21 kB | Adobe PDF | View/Open |
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