We present two linear, non-iterative approaches for deconvolution of three-dimensional images that are able to produce good approximations of the true fluorescence concentration in computational optical sectioning microscopy. Both the proposed filters take into account the nature of the noise due to the low level of photon counts. We present some results of the applicability of the methods using a phantom image, where the improvement in signal-to-noise ratio was used in order to quantify the restoration results, and also using real cell images. We compare the algorithms with the regularized linear least squares algorithm considering different levels of Poisson noise.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Linear filters for deconvolution microscopy


    Contributors:


    Publication date :

    2004-01-01


    Size :

    334955 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    MICROSCOPY Acousto-optic tunable filters improve optical microscopy

    Spring, K. R. | British Library Online Contents | 2002


    Local Multichannel Deconvolution

    Easley, G. R. / Walnut, D. F. | British Library Online Contents | 2003


    Unsupervised Blind Deconvolution

    Galle, R.B. | British Library Conference Proceedings | 2014


    Gradient-based image deconvolution

    Huang, H. / Yang, H. / Ma, S. | British Library Online Contents | 2013