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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 14, Iss. 26 — Dec. 25, 2006
  • pp: 12720–12743

A method for cytometric image parameterization

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

Optics Express, Vol. 14, Issue 26, pp. 12720-12743 (2006)

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New advances in wide-angle cytometry have allowed researchers to obtain micro- and nano-structural information from biological cells. While the complex two-dimensional scattering patterns generated by these devices contain vital information about the structure of a cell, no computational analysis methods have been developed to rapidly extract this information. In this work we demonstrate a multi-agent computational pipeline that is able to extract features from a two-dimensional laser scattering image, cluster these features into spatially distinct regions, and extract a set of parameters relating to the structure of intensity regions within the image. This parameterization can then be used to infer medically relevant properties of the scattering object.

© 2006 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2960) Image processing : Image analysis
(100.3190) Image processing : Inverse problems
(100.5010) Image processing : Pattern recognition
(150.0150) Machine vision : Machine vision
(290.3200) Scattering : Inverse scattering

ToC Category:
Image Processing

Original Manuscript: August 10, 2006
Revised Manuscript: November 22, 2006
Manuscript Accepted: December 1, 2006
Published: December 22, 2006

Virtual Issues
Vol. 2, Iss. 1 Virtual Journal for Biomedical Optics

Patrick M. Pilarski and Christopher J. Backhouse, "A method for cytometric image parameterization," Opt. Express 14, 12720-12743 (2006)

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