Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction

  • Amit Suveer
  • Nataša Sladoje
  • Joakim Lindblad
  • Anca Dragomir
  • Ida-Maria Sintorn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10270)

Abstract

Ultrastructural analysis of cilia cross-sectional images using transmission electron microscopy (TEM) assists the pathologists to diagnose Primary Ciliary Dyskinesia, a genetic disease. The current diagnostic procedure is manual and difficult because of poor signal-to-noise ratio in TEM images. In this paper, we propose an automated multi-step registration approach to register many cilia cross-sectional instances. The novelty of the work is in the utilization of customized weight masks at each registration step to achieve good alignment of the specific cilium regions. Registration is followed by super-resolution reconstruction to enhance the substructural information. Landmarks matching based evaluation of registration results in pixel alignment error of \(2.35\pm 1.82\) pixels, and the subjective analysis of super-resolution reconstructed cilium shows a clear improvement in the visibility of the substructures such as dynein arms, radial spokes, and central pair.

Keywords

Non-rigid registration Transmission Electron Microscopy Super-resolution Cilia ultrastructures Dynein arms Radial spokes 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Amit Suveer
    • 1
  • Nataša Sladoje
    • 1
    • 2
  • Joakim Lindblad
    • 1
    • 2
  • Anca Dragomir
    • 3
  • Ida-Maria Sintorn
    • 1
    • 4
  1. 1.Centre for Image AnalysisUppsala UniversityUppsalaSweden
  2. 2.Mathematical Institute, Serbian Academy of Sciences and ArtsBelgradeSerbia
  3. 3.Department of Surgical PathologyUppsala University HospitalUppsalaSweden
  4. 4.Vironova ABStockholmSweden

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