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Proceedings Paper

Speckle analysis of single cell light scattering patterns for cell classification
Author(s): Xuming Sun; Xu Qiao; Kun Song; Beihua Kong; Xuantao Su
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Paper Abstract

Laser speckle analysis has been widely used in imaging of blood flow. Speckle analysis of 2D light scattering patterns from single cells may find opportune parameters for label-free cell classification. 2D light scattering patterns have been obtained experimentally for Jurkat and CB CD34+ cells, and via finite-difference time-domain simulations for these cells, respectively. Cross section scans of the 2D light scattering patterns are carried out at different locations vertically. The number of the bright speckles in the scanned 1D spectra is used for classification of these two kinds of cells. The malignant cancer cells gives more speckle numbers on average in the multi scans of the 2D light scattering patterns, in comparison to the normal cells. The preliminary results show that speckle analysis of 2D light scattering patterns may be useful for label-free cancer diagnosis, such as early cancer screening.

Paper Details

Date Published: 24 October 2012
PDF: 6 pages
Proc. SPIE 8412, Photonics North 2012, 841207 (24 October 2012); doi: 10.1117/12.2001237
Show Author Affiliations
Xuming Sun, Shandong Univ. (China)
Xu Qiao, Shandong Univ. (China)
Kun Song, Qilu Hospital of Shandong Univ. (China)
Beihua Kong, Qilu Hospital of Shandong Univ. (China)
Xuantao Su, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 8412:
Photonics North 2012
Jean-Claude Kieffer, Editor(s)

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