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A method for cytometric image parameterization

delete2006-12-25
delete9
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OA
AI
P
Patrick M. Pilarski *
C
C. Backhouse
DOI：10.1364/OE.14.012720delete
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Abstract

Abstract

En 中文
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. (C) 2006 Optical Society of America.
Keywords:
LIGHT-SCATTERING
BIOLOGICAL CELLS
SEGMENTATION
TRACKING

Journal

Optics Express cover
Optics Express
IF:
3.3
Papers:
6.1W
Citations:
14.3W

Organization

No organization information available