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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 21 — Oct. 21, 2013
  • pp: 24819–24828

Analysis of cellular objects through diffraction images acquired by flow cytometry

Jun Zhang, Yuanming Feng, Marina S. Moran, Jun Q. Lu, Li V. Yang, Yu Sa, Ning Zhang, Lixue Dong, and Xin-Hua Hu  »View Author Affiliations

Optics Express, Vol. 21, Issue 21, pp. 24819-24828 (2013)

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It was found that the diffraction images acquired along the side scattering directions with objects in a cell sample contain pattern variations at both the global and local scales. We show here that the global pattern variation is associated with the categorical size and morphological heterogeneity of the imaged objects. An automated image processing method has been developed to separate the acquired diffraction images into three types of global patterns. Combined with previously developed method for quantifying local texture pattern variations, the new method allows fully automated analysis of diffraction images for rapid and label-free classification of cells according to their 3D morphology.

© 2013 Optical Society of America

OCIS Codes
(110.1650) Imaging systems : Coherence imaging
(170.1530) Medical optics and biotechnology : Cell analysis
(290.5850) Scattering : Scattering, particles

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: August 29, 2013
Revised Manuscript: September 26, 2013
Manuscript Accepted: September 26, 2013
Published: October 9, 2013

Jun Zhang, Yuanming Feng, Marina S. Moran, Jun Q. Lu, Li V. Yang, Yu Sa, Ning Zhang, Lixue Dong, and Xin-Hua Hu, "Analysis of cellular objects through diffraction images acquired by flow cytometry," Opt. Express 21, 24819-24828 (2013)

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