Speckle analysis of single cell light scattering patterns for cell classification

Xuming Sun; Xu Qiao; Kun Song; Beihua Kong; Xuantao Su

doi:10.1117/12.2001237

24 October 2012 Speckle analysis of single cell light scattering patterns for cell classification

Xuming Sun, Xu Qiao, Kun Song, Beihua Kong, Xuantao Su

Proceedings Volume 8412, Photonics North 2012; 841207 (2012) https://doi.org/10.1117/12.2001237
Event: Photonics North 2012, 2012, Montréal, Canada

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.

Citation Download Citation

Xuming Sun, Xu Qiao, Kun Song, Beihua Kong, and Xuantao Su "Speckle analysis of single cell light scattering patterns for cell classification", Proc. SPIE 8412, Photonics North 2012, 841207 (24 October 2012); https://doi.org/10.1117/12.2001237

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