Nanometer-scale imaging and pore-scale fluid flow modeling inchalk Page: 4 of 16
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Next, the individual 2D images are stacked and aligned using registration (fiduciary) markings or characteristic
features within the sample volume. The segmentation of the data into pore/nonpore voxels can be performed
either on the 2D images or on the 3D data sets. For images with high pore/nonpore gray scale contrast, simple
thresholding could be adequate (Fig. 5). For lower-contrast images, which can benefit from using spatial
information besides gray level, other methods, such as indicator krigging are available (Oh and Lindquist, 1999,
Mardia-Hainsworth, 1988, Lindquist (2002). To process the images,especially for batch image manipulation
and segmentation, commercial image processing software package (such as ImagePro or NOESYS, etc..) or
freeware (such as Image-J, www.nih.gov/ij or 3DMA, www.ams.sunysb.edu/~lindquis/3dma/3dma'rock.html)
can be used. In this work Image J and NOESYS packages were used.
Ion Beam Beam
Figure 3. Sample mounted for FIB milling and imaging.
Figure 4. View from the ion beam direction of sample surface A during milling. The milling boundary is
defined by the white rectangle and the most recent surface exposed is marked by the middle horizontal segment
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Tomutsa, Liviu; Silin, Dmitriy & Radmilovich, Velimir. Nanometer-scale imaging and pore-scale fluid flow modeling inchalk, article, August 23, 2005; Berkeley, California. (https://digital.library.unt.edu/ark:/67531/metadc893671/m1/4/: accessed April 20, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.