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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 4 — Apr. 1, 2014
  • pp: 677–684

Entropy-based clustering of embryonic stem cells using digital holographic microscopy

Ran Liu, Arun Anand, Dipak K. Dey, and Bahram Javidi  »View Author Affiliations


JOSA A, Vol. 31, Issue 4, pp. 677-684 (2014)
http://dx.doi.org/10.1364/JOSAA.31.000677


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Abstract

Embryonic stem (ES) cells are an important factor in the development of cell-based therapeutic strategies. In this work, the use of digital holographic interferometric microscopy and statistical identification for automatic discrimination of ES cells and fibroblast (FB) cells is discussed in detail. The proposed algorithm first reduces the complex data structure to lower dimensions. Then, based on asymptotic normality, model-based clustering and linear discriminant analysis are applied to the transformed data to obtain the classification between ES and FB cells. The proposed algorithm is robust because it does not depend on parametric assumptions and can be extended to the classification of other cell image data. Experimental results are presented to demonstrate the performance of the system.

© 2014 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(150.6910) Machine vision : Three-dimensional sensing
(150.1135) Machine vision : Algorithms
(090.1995) Holography : Digital holography
(100.4993) Image processing : Pattern recognition, Baysian processors

ToC Category:
Machine Vision

History
Original Manuscript: August 5, 2013
Revised Manuscript: December 23, 2013
Manuscript Accepted: January 16, 2014
Published: March 3, 2014

Virtual Issues
Vol. 9, Iss. 6 Virtual Journal for Biomedical Optics

Citation
Ran Liu, Arun Anand, Dipak K. Dey, and Bahram Javidi, "Entropy-based clustering of embryonic stem cells using digital holographic microscopy," J. Opt. Soc. Am. A 31, 677-684 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-4-677


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