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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 7, Iss. 8 — Aug. 2, 2012

An inverse light scattering technique for morphological characterization of irregular particles based on the Gaussian-random-sphere model

M. Reza Hajihashemi and Huabei Jiang  »View Author Affiliations


JOSA A, Vol. 29, Issue 6, pp. 1124-1131 (2012)
http://dx.doi.org/10.1364/JOSAA.29.001124


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Abstract

The Gaussian-random-sphere model is employed for morphological characterization of nonspherical, irregular particles using an inverse light scattering technique. The synthetic measurement data consist of reduced scattering spectra caused by an aggregate of irregular particles randomly oriented in turbid media and are generated using the discrete dipole approximation. The proposed method simultaneously retrieves the concentration and shape parameters of particles using the data collected at multiple wavelengths. The performance of the inverse algorithm is tested using noise-corrupted data, in which up to 50% noise may be added to the observed scattering spectra.

© 2012 Optical Society of America

OCIS Codes
(110.7050) Imaging systems : Turbid media
(290.3200) Scattering : Inverse scattering

ToC Category:
Scattering

History
Original Manuscript: January 9, 2012
Revised Manuscript: March 27, 2012
Manuscript Accepted: March 27, 2012
Published: June 1, 2012

Virtual Issues
Vol. 7, Iss. 8 Virtual Journal for Biomedical Optics

Citation
M. Reza Hajihashemi and Huabei Jiang, "An inverse light scattering technique for morphological characterization of irregular particles based on the Gaussian-random-sphere model," J. Opt. Soc. Am. A 29, 1124-1131 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-29-6-1124


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References

  1. R. Xu, Particle Characterization: Light Scattering Methods (Springer, 2000).
  2. C. Tropea, “Optical particle characterization in flows,” Annu. Rev. Fluid Mech. 43, 399–426 (2011). [CrossRef]
  3. B. J. Berne and R. Pecora, Dynamic Light Scattering: With Applications to Chemistry, Biology, and Physics (Dover, 2000).
  4. R. Pearson, R. M. Fitzgerald, and J. Polanco, “An inverse reconstruction model to retrieve aerosol size distribution from optical depth data,” J. Opt. A 9, 56–59 (2007). [CrossRef]
  5. T. Gutzler, T. R. Hillman, S. A. Alexandrov, and D. D. Sampson, “Three-dimensional depth-resolved and extended-resolution micro-particle characterization by holographic light scattering spectroscopy,” Opt. Express 18, 25116–25126 (2010). [CrossRef]
  6. M. R. Hajihashemi and H. Jiang, “Morphologic tomography of non-spherical particles using multispectral diffusing light measurements,” J. Biomed. Opt. 16, 116014 (2011). [CrossRef]
  7. Xinjun Zhu, Jin Shen, Wei Liu, Xianming Sun, and Yajing Wang, “Nonnegative least-squares truncated singular value decomposition to particle size distribution inversion from dynamic light scattering data,” Appl. Opt. 49, 6591–6596 (2010). [CrossRef]
  8. C. Li, S. Grobmyer, N. Massol, X. Liang, Q. Zhang, L. Chen, L. Fajardo, and H. Jiang, “Noninvasive in vivo tomographic optical imaging of cellular morphology in the breast: possible convergence of microscopic pathology and macroscopic radiology,” Med. Phys. 35, 2493–2501 (2008). [CrossRef]
  9. K. Muinonen, E. Zubko, J. Tyynelä, Y. G. Shkuratov, and Gorden Videen, “Light scattering by Gaussian random particles with discrete-dipole approximation,” J. Quant. Spectrosc. Radiat. Transfer 106, 360–377 (2007). [CrossRef]
  10. L. Xu, A. Taflove, and V. Backman, “Recent progress in exact and reduced-order modeling of light-scattering properties of complex structures,” IEEE J. Sel. Top. Quantum Electron. 11, 759–765 (2005). [CrossRef]
  11. K. Muinonen and T. Pieniluoma, “Light scattering by Gaussian random ellipsoid particles: first results with discrete-dipole approximation,” J. Quant. Spectrosc. Radiat. Transfer 112, 1747–1752 (2011). [CrossRef]
  12. B. T. Draine, and P. J. Flatau, “Discrete-dipole approximation for scattering calculations,” J. Opt. Soc. Am. A 11, 1491–1499 (1994). [CrossRef]
  13. M. A. Yurkin and A. G. Hoekstra, “The discrete dipole approximation: an overview and recent developments,” J. Quant. Spectrosc. Radiat. Transfer 106, 558–589 (2007). [CrossRef]
  14. B. T. Draine, “The discrete-dipole approximation and its application to interstellar graphite grains,” Astrophys. J. 333, 848–872 (1988). [CrossRef]
  15. B. T Draine and P. J Flatau, “User guide to the discrete dipole approximation code DDSCAT 7.1,” http://arXiv.org/abs/1002.1505v1 (2010).
  16. A. Wax and V. Backman, Biomedical Applications of Light Scattering (McGraw-Hill, 2009).
  17. H. Jiang, Diffuse Optical Tomography: Principles and Applications (CRC Press, 2010).
  18. J. Nocedal and S. J. Wright, Numerical Optimization (Springer, 2006).

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