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Image analysis with

Figure 8.2 Design of protein-embedding barcode is depicted in (a) five thin layers of matrix (the thicker lines) coated with variable concentration of tested protein (thinner lines located above the matrix), (b) A FFPE tissue section of bladder cancer IHC-stained by monoclonal antibody to E-cadherine showing variable intensity of positive staining results which is compared with a protein-embedding bar code as designed in this chapter. Using computer-assisted image analysis with a special software, an automatic quantitative measurement of protein is performed. See color insert. Figure 8.2 Design of protein-embedding barcode is depicted in (a) five thin layers of matrix (the thicker lines) coated with variable concentration of tested protein (thinner lines located above the matrix), (b) A FFPE tissue section of bladder cancer IHC-stained by monoclonal antibody to E-cadherine showing variable intensity of positive staining results which is compared with a protein-embedding bar code as designed in this chapter. Using computer-assisted image analysis with a special software, an automatic quantitative measurement of protein is performed. See color insert.
A modified version of 2DE and gel image analysis, with silver staining, autoradiography, and protein identification and measurement of peptide mass, uses matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) as a rapid and sensitive technique for identifying peptides. MALDI-TOF-MS applies well to protein detection in biological fluids.56 A second advantage of this technique is... [Pg.87]

A related approach was used by Ranefall et al. (1998) to quantify images of immunohistochemically stained cell nuclear Ki-67 antigen and cyclin A protein in bladder carcinoma tissue. They combined automatic, computerized image analysis with appropriate controls and reference material. This approach is superior to the automatic method without... [Pg.106]

Comparison of STM image analysis with gas adsorption. Rejainted with permission Horn Ref. [13]. Copyright 1999 Materials Research Society. [Pg.53]

As for immersion tests, also in cabinet tests the corrosion effects are evaluated by weight loss, appearance, metallographic examination, changes in electrical and mechanical properties, with evaluation criteria prescribed by standards. It is worthwhile to note that the evaluation of corrosion effects based on visual appearance often is subjective. Some objective method should be used, such as image analysis, with the aim of minimising the influence of human factor in the post-test evaluation. [Pg.530]

Masson and Springer-Verlag, Paris, 1992, pp. 144-159. Image Analysis with 2D Continuous Wavelet Transform Detection of Position, Orientation and Visual Contrast of Simple Objects. [Pg.324]

An electrically conducting cell growth substrate is required for imaging analysis with a CAMECA IMS-3f SIMS ion microscope because the sample is held at 4,500 V in the high vacuum sample chamber of the instrument. [Pg.115]

In order to be able to characterize the surfaces of the mixtures by image analysis with visible radiation, mixtures were made from raw materials of contrasting colors. A white product and a black product were chosen wheat and rape seed meal. Four series totaling forty samples were built from mixtures from 0 to 100% of wheat by steps of 10% fine wheat with fine rape seed meal, fine wheat with coarse rape seed meal, coarse wheat with fine rape seed meal, and coarse wheat with coarse rape seed meal. Figure 3.11 shows experimental data (as diamonds) for the mixtures of fine wheat with fine rape seed meal (i.e., passed through the same size sieve). The remission of visible radiation from the mixtures increased with the concentration of white wheat. The reflectance values were not placed on a straight line between the raw fractions. ... [Pg.56]

J. Jiang, P. Trundle, and J. Ren, Medical Image Analysis with Artificial Neural Networks , Computerized Medical Imaging and Graphics, 2010. [Pg.672]

Okada, Y. Chen, Z. Eldridge, E. L. Central respiratory chemoreception in the developing rat brainstem dynamic imaging analysis with fluorescent voltage-sensitive dye. Keio Univ. Symp. Life Sci. Med. 1999, 2, 410-415. [Pg.414]

Figure 1 shows Ihe variation of coke porosity obtained by microscopic image analysis with oxidation time for the three series of cokes. [Pg.462]

Fig. 1. Variation of coke porosity determined by image analysis with oxidation time of parent coal. Fig. 1. Variation of coke porosity determined by image analysis with oxidation time of parent coal.

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