MURAL - Maynooth University Research Archive Library

    Automatic quality assessment for fluorescence microscopy images

    Paul, Perrine and Kalamatianos, Dimitrios and Duessmann, Heiko and Huber, Heinrich (2008) Automatic quality assessment for fluorescence microscopy images. In: Conference on BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International , 8-10 October 2008.

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    Fluorescence microscopy imaging is a constant trade off between signal to noise ratio, total observation time and spatio-temporal resolution due to photo toxicity. In this paper, we propose a method to estimate the quality of a fluorescent image acquisition, from a single image, taking into account both signal dependent and signal independent noise. We propose a method for the calculation of the signal to noise ratio globally and locally. We validated our algorithm on real experimental data and data with known simulated noise.Results allow us to conclude that this fully automatic method provides a good quantification of the image quality.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Fluorescence microscopy images; Photo toxicity; Global signal to noice; Simulated noise; Hamilton Institute. RATIO
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 1674
    Depositing User: Hamilton Editor
    Date Deposited: 18 Nov 2009 10:03
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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