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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 1, Iss. 4 — Nov. 1, 2010
  • pp: 1225–1233

Towards robust cellular image classification: theoretical foundations for wide-angle scattering pattern analysis

Patrick M. Pilarski and Christopher J. Backhouse  »View Author Affiliations

Biomedical Optics Express, Vol. 1, Issue 4, pp. 1225-1233 (2010)

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Clinical analysis of light scattering from cellular organelle distributions can help identify disease and predict a patient's response to treatment. This work presents a theoretical basis for the identification of important intracellular distributions from scattering patterns even in the presence of optical and structural variability, and examines how the geometry of an organelle distribution affects key properties of wide-angle (two-dimensional) scattering patterns. Specifically, this work demonstrates how organelle arrangement relates to the size and shape of intensity peaks within simulated scattering images, and how this relationship can affect cell identification when using standard image classification methods.

© 2010 OSA

OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(170.1530) Medical optics and biotechnology : Cell analysis
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(290.5825) Scattering : Scattering theory

ToC Category:
Cell Studies

Original Manuscript: August 25, 2010
Revised Manuscript: October 13, 2010
Manuscript Accepted: October 22, 2010
Published: October 26, 2010

Patrick M. Pilarski and Christopher J. Backhouse, "Towards robust cellular image classification: theoretical foundations for wide-angle 
scattering pattern analysis," Biomed. Opt. Express 1, 1225-1233 (2010)

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