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Acquiring 3-D information about thick objects from differential interference contrast images using texture extraction

Source: J. Biomed. Opt. 15, 046021 (2010); doi:10.1117/1.3475961

Published 10 August 2010

KEYWORDS and PACS
Keywords
PACS
  • 87.64.mh
    Phase contrast and DIC microscopy in biophysics and medical physics
  • 87.57.N-
    Medical image analysis
  • YEAR: 2010
PUBLICATION DATA
ISSN:
1553-9628 (online)
Publisher:
AIP is a member of CrossRef SPIE
Heidy Sierra, Dana Brooks, and Charles DiMarzio
Northeastern University, Department of Electrical and Computer Engineering, 409 Dana Research Center, 360 Huntington Avenue, Boston, Massachusetts 02115
The extraction of 3-D morphological information about thick objects is explored in this work. We extract this information from 3-D differential interference contrast (DIC) images by applying a texture detection method. Texture extraction methods have been successfully used in different applications to study biological samples. A 3-D texture image is obtained by applying a local entropy-based texture extraction method. The use of this method to detect regions of blastocyst mouse embryos that are used in assisted reproduction techniques such as in vitro fertilization is presented as an example. Results demonstrate the potential of using texture detection methods to improve morphological analysis of thick samples, which is relevant to many biomedical and biological studies. Fluorescence and optical quadrature microscope phase images are used for validation. ©2010 Society of Photo-Optical Instrumentation Engineers
History: Received 27 August 2009; revised 10 June 2010; accepted 23 June 2010; published 10 August 2010
Permalink: http://dx.doi.org/10.1117/1.3475961

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