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Cancer diagnosis by microscopic axial super-resolving reconstruction approach of cytological and histological images

  • Zeev Zalevsky
  • , Eran Rosmann
  • , Edmond Sabo
  • , Ehud Rivlin
  • , David Mendlovic
  • Tel Aviv University
  • Carmel Medical Center
  • Technion-Israel Institute of Technology

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We present an optical data reconstruction method to be used for cancer diagnostics via cytological and histological images. The approach allows realizing extended depth of focus and data compression using wavelet transformation that is realized optically with very low computational complexity. The extended depth of focus and the compressed images are generated out of a set of optically defocused images realized due to axial translation of the diagnosed sample. The extended depth of focus image may be used for 3-D cytological information display without stereo projection. Note that the extended depth of focus actually means super-resolving imaging, since getting out of focus means filtering the high band spatial frequencies within the image.

Original languageEnglish
Article number083201
JournalOptical Engineering
Volume45
Issue number8
DOIs
StatePublished - Aug 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Data compression
  • Focus
  • Medical imaging

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