An alternative to angle lap and stain analysis of Gaussian diffusions

Filaments (average diameter, 12 nm) are a prominent feature of the water- insoluble fraction of chick lens fiber cells (1) (fig. 1). Isolation of the filaments was achieved in the following manner. The lens fiber mass was homogenized in standard salt solution pH 7.2 to which 10 mM B-mercaptoethanol was added. The homogenate was centrifuged at 37,000 g for 20 min. and the pellet washed in buffer until free of soluble proteins (lens crystallins) when tested with antisera to the crystallins. The pellet was then extracted in 8M urea and centrifuged at 77,000 g for 15 min. The membrane-rich pellet was discarded and the urea-soluble fraction was dialysed against the buffer to remove the urea. Negative stain analysis showed that intact filaments were present in the urea-free solution (UFS).A pellet rich in filaments was obtained by centrifugation of the UFS at 77,000 g for 1 hr. (fig. 2).

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Research and application of K/S value in stain identification

Pigment & Resin Technology ◽

10.1108/prt-03-2021-0038 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Qingbin Cui ◽

Fenjuan Shao

Keyword(s):

Color Difference ◽

Simple Method ◽

Content Type ◽

Stain Removal ◽

Before And After ◽

S Curve ◽

Smart Home Appliances ◽

Stain Analysis ◽

Textile Fabric ◽

Practical Implications

Purpose The intelligent identification of stains can quickly and accurately identify stains. At present, stains are identified subjectively by appearance, color, taste, feel, location, etc. Color is an important factor in identifying stains. K/S value is used to analyze the color of textile fabric, and it has additivity. The purpose of the study is to explore its application in stain recognition is of great significance to intelligent washing. Design/methodology/approach A certain method used to stain the textile, then the K/S value of the textile before and after the stain was analyzed and tested by the color difference instrument. The K/S curve of the stain was calculated by the addition of K/S, and then the stain was identified and distinguished. Findings The K/S value of the textile stained with stains could be deducted by the K/S value of the color difference meter. After deducting the base cloth, the K/S curve of the same stain is basically the same. Then the stain can be identified and analyzed. Research limitations/implications The K/S value can be used for stain analysis, but it needs to be analyzed and tested in the laboratory. Practical implications This study provides a simple method for stains identification. Originality/value In addition to common methods of stain identification, such as appearance, color, feel, smell, location, stain removal materials, breaking the substrate, IR, etc., K/S value can be used for stain analysis. Identifying stains and washing them in a targeted way to achieve a better washing effect could provide certain technical support for the development of smart washing and smart home appliances.

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Multiple spectral image decomposition for stain analysis in multiply labeled slides

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society ◽

10.1109/iembs.1995.575217 ◽

2002 ◽

Author(s):

R. Zhou ◽

E.H. Hammond ◽

D.L. Parker

Keyword(s):

Image Decomposition ◽

Spectral Image ◽

Stain Analysis

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The Use of Quantitative Sterile Brush Culture and Gram Stain Analysis in the Diagnosis of Lower Respiratory Tract Infection

CHEST Journal ◽

10.1378/chest.79.2.157 ◽

1981 ◽

Vol 79 (2) ◽

pp. 157-161 ◽

Cited By ~ 40

Author(s):

Robert B. Teague ◽

Richard J. Wallace ◽

Robert J. Awe

Keyword(s):

Tract Infection ◽

Respiratory Tract ◽

Respiratory Tract Infection ◽

Lower Respiratory Tract Infection ◽

Lower Respiratory Tract ◽

Gram Stain ◽

Stain Analysis

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Non-Local Stress and Stain Analysis at Crack Tip Based on Different Types of Weighted Functions

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.146-147.198 ◽

2010 ◽

Vol 146-147 ◽

pp. 198-201

Author(s):

Zhong Chang Wang

Keyword(s):

Stress Singularity ◽

Crack Tip ◽

Local Stress ◽

Local Strain ◽

Local Theory ◽

Weighted Functions ◽

Different Types ◽

Non Local ◽

Distribution Of Stress ◽

Stain Analysis

The characteristics of different types of the weighted functions are discussed, and the dependency of the influence domain on the intrinsic length scale is examined. Distribution of stress field of I-II mixed mode crack is analyzed by non-local theory with different types of weighted functions. The effects of the stress intensity factor KI and KII on the all components of strains at the crack tip are analyzed by the non-local theories based on different types of weighted functions. The non-local strain will be considerably reduced. The size of non-local strain field with the bell-shaped weighted functions is larger than that obtained by either Green’s or Gaussian weighted functions. The non-local theory is instructive to avoid the trouble resulting from stress singularity at crack tip.

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MELAS: clinical features, muscle biopsy and molecular genetics

Arquivos de Neuro-Psiquiatria ◽

10.1590/s0004-282x2009000400018 ◽

2009 ◽

Vol 67 (3a) ◽

pp. 668-676 ◽

Cited By ~ 12

Author(s):

Paulo José Lorenzoni ◽

Rosana H. Scola ◽

Cláudia S. Kamoi Kay ◽

Raquel C. Arndt ◽

Aline A. Freund ◽

...

Keyword(s):

Succinate Dehydrogenase ◽

Molecular Analysis ◽

Muscle Biopsy ◽

Direct Sequencing ◽

Clinical Findings ◽

Brain Image ◽

Molecular Features ◽

A3243g Mutation ◽

Stain Analysis ◽

Deficient Activity

OBJECTIVE: The aim of the study was to analyze a series of Brazilian patients suffering from MELAS. METHOD: Ten patients with MELAS were studied with correlation between clinical findings, laboratorial data, electrophysiology, histochemical and molecular features. RESULTS: Blood lactate was increased in eight patients. Brain image studies revealed a stroke-like pattern in all patients. Muscle biopsy showed ralled-red fibers (RRF) in 90% of patients on modified Gomori-trichrome and in 100% on succinate dehydrogenase stains. Cytochrome c oxidase stain analysis indicated deficient activity in one patient and subsarcolemmal accumulation in seven patients. Strongly succinate dehydrogenase-reactive blood vessels (SSV) occurred in six patients. The molecular analysis of tRNA Leu(UUR) gene by PCR/RLFP and direct sequencing showed the A3243G mutation on mtDNA in 4 patients. CONCLUSION: The muscle biopsy often confirmed the MELAS diagnosis by presence of RRF and SSV. Molecular analysis of tRNA Leu(UUR) gene should not be the only diagnostic criteria for MELAS.

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