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

Heidy Sierra; Dana H. Brooks; Charles A. DiMarzio

doi:10.1117/1.3475961

1 July 2010 Acquiring 3-D information about thick objects from differential interference contrast images using texture extraction

Heidy Sierra, Dana H. Brooks, Charles A. DiMarzio

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Journal of Biomedical Optics, Vol. 15, Issue 4, 046021 (July 2010). https://doi.org/10.1117/1.3475961

Abstract

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 (SPIE)

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Heidy Sierra, Dana H. Brooks, and Charles A. DiMarzio "Acquiring 3-D information about thick objects from differential interference contrast images using texture extraction," Journal of Biomedical Optics 15(4), 046021 (1 July 2010). https://doi.org/10.1117/1.3475961

Published: 1 July 2010

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KEYWORDS

Digital image correlation

3D image processing

Phase measurement

Luminescence

Image processing

Image segmentation

Image analysis

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