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Diffraction imaging of spheres and melanoma cells with a microscope objective

  1. Kenneth M. Jacobs1,
  2. Li V. Yang2,
  3. Junhua Ding3,
  4. Andrew E. Ekpenyong1,
  5. Reid Castellone2,
  6. Jun Q. Lu1,
  7. Xin-Hua Hu

Article first published online: 10 JUL 2009

DOI: 10.1002/jbio.200910044

Issue

Journal of Biophotonics

Journal of Biophotonics

Special Issue: Towards in vivo Flow Cytometry

Volume 2, Issue 8-9, pages 521–527, September 2009

Additional Information

How to Cite

Jacobs, K. M., Yang, L. V., Ding, J., Ekpenyong, A. E., Castellone, R., Lu, J. Q. and Hu, X.-H. (2009), Diffraction imaging of spheres and melanoma cells with a microscope objective. J. Biophoton., 2: 521–527. doi: 10.1002/jbio.200910044

Author Information

  1. 1

    Department of Physics, East Carolina University, Greenville, NC 27858, USA

  2. 2

    Department of Internal Medicine, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA

  3. 3

    Department of Computer Science, East Carolina University, Greenville, NC 27858, USA

Publication History

  1. Issue published online: 9 SEP 2009
  2. Article first published online: 10 JUL 2009
  3. Manuscript Accepted: 15 JUN 2009
  4. Manuscript Revised: 12 JUN 2009
  5. Manuscript Received: 29 MAY 2009

Funded by

  • NIH. Grant Number: 1R15GM70798-01

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Keywords:

  • diffraction imaging;
  • light scattering;
  • melanoma cells;
  • cell morphology

Abstract

Diffraction imaging of polystyrene spheres and B16F10 mouse melanoma cells embedded in gel has been investigated with a microscope objective. The diffraction images acquired with the objective from a sphere have been shown to be comparable to the Mie theory based projection images of the scattered light if the objective is translated to defocused positions towards the sphere. Using a confocal imaging based method to reconstruct and analyze the 3D structure, we demonstrated that genetic modifications in these cells can induce morphological changes and the modified cells can be used as an experimental model for study of the correlation between 3D morphology features and diffraction image data. (© 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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