Publication Type:Journal Article
Source:J Opt Soc Am A Opt Image Sci Vis, Volume 23, Issue 11, p.2944-53 (2006)
Keywords:Algorithms, Artifacts, Holography, Image Enhancement, Image Interpretation, Computer-Assisted, Information Storage and Retrieval, Lenses, Microscopy, Numerical Analysis, Computer-Assisted, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted
Introducing a microscope objective in an interferometric setup induces a phase curvature on the resulting wavefront. In digital holography, the compensation of this curvature is often done by introducing an identical curvature in the reference arm and the hologram is then processed using a plane wave in the reconstruction. This physical compensation can be avoided, and several numerical methods exist to retrieve phase contrast images in which the microscope curvature is compensated. Usually, a digital array of complex numbers is introduced in the reconstruction process to perform this curvature correction. Different corrections are discussed in terms of their influence on the reconstructed image size and location in space. The results are presented according to two different expressions of the Fresnel transform, the single Fourier transform and convolution approaches, used to propagate the reconstructed wavefront from the hologram plane to the final image plane.