MURAL - Maynooth University Research Archive Library



    Fixed-point numercial-reconstruction for digital holographic microscopy


    Pandey, Nitesh and Hennelly, Bryan M. (2010) Fixed-point numercial-reconstruction for digital holographic microscopy. Optics Letters, 35 (7). pp. 1076-1078. ISSN 0146-9592

    [img]
    Preview
    Download (138kB) | Preview
    Official URL: http://dx.doi.org/10.1364/OL.35.001076


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    In this Letter, we study the reconstruction of digital holograms of microscopic objects using a fixed-point representation of the numercial-reconstruction process. For different bit levels in our fixed-point reconstruction algorithm, we investigate the errors introduced to both the reconstructed image intensity and the unwrapped quantitative phase information. Experimental results based on a microscopic lens array are provided.

    Item Type: Article
    Additional Information: The published version of this article is avaialable at http://dx.doi.org/10.1364/OL.35.001076 . © 2010 Optical Society of America. The research leading to these results has received funding from the European Community’s Seventh Framework Programme FP7/2007–2013 under grant agreement no. 216105 and also Science Foundation Ireland under the National Development Plan.
    Keywords: Fixed-point; numercial-reconstruction; digital holographic microscopy;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 5775
    Depositing User: Dr. Bryan Hennelly
    Date Deposited: 04 Feb 2015 15:51
    Journal or Publication Title: Optics Letters
    Publisher: Optical Society of America
    Refereed: Yes
    Funders: European Community’s Seventh Framework Programme, Science Foundation Ireland (SFI)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year