The research of 28nm NMOS TEM sample junction stain analysis

2017 ◽  
Author(s):  
Chen Sheng ◽  
Shi Yanping ◽  
Chen Qiang ◽  
Chinte Kuo
Keyword(s):  
Stain Analysis

Spermac stain analysis of human sperm acrosomes

1999 ◽  
Vol 72 (1) ◽  
pp. 124-128 ◽  
Author(s):  
Philip J Chan ◽  
Johannah U Corselli ◽  
John D Jacobson ◽  
William C Patton ◽  
Alan King
Keyword(s):  
Human Sperm ◽  
Stain Analysis

Micro RNA profiling for the detection and differentiation of body fluids in forensic stain analysis

2013 ◽  
Vol 4 (1) ◽  
pp. e216-e217 ◽  
Author(s):  
Peng Bai ◽  
Wei Deng ◽  
Li Wang ◽  
Bing Long ◽  
Kuanlin Liu ◽  
...  
Keyword(s):  
Body Fluids ◽  
Micro Rna ◽  
Rna Profiling ◽  
Stain Analysis ◽  
Forensic Stain Analysis

scholarly journals Beyond Blood Culture and Gram Stain Analysis: A Review of Molecular Techniques for the Early Detection of Bacteremia in Surgical Patients

2016 ◽  
Vol 17 (3) ◽  
pp. 294-302 ◽  
Author(s):  
Michelle H. Scerbo ◽  
Heidi B. Kaplan ◽  
Anahita Dua ◽  
Douglas B. Litwin ◽  
Catherine G. Ambrose ◽  
...  
Keyword(s):  
Blood Culture ◽  
Early Detection ◽  
Molecular Techniques ◽  
Surgical Patients ◽  
Gram Stain ◽  
Stain Analysis

Cytoplasmic Filaments in the Chick Lens Fiber Cells

1977 ◽  
Vol 35 ◽  
pp. 468-469
Author(s):  
Ronald H. Bradley ◽  
Jose Alcala ◽  
Harry Maisel
Keyword(s):  
Average Diameter ◽  
Insoluble Fraction ◽  
Lens Fiber ◽  
Lens Crystallins ◽  
Solution Ph ◽  
Fiber Cells ◽  
Negative Stain ◽  
Cytoplasmic Filaments ◽  
Stain Analysis ◽  
Chick Lens

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).

Research and application of K/S value in stain identification

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.

An alternative to angle lap and stain analysis of Gaussian diffusions

1979 ◽  
Vol 26 (5) ◽  
pp. 776-779
Author(s):  
H. Guckel ◽  
D.C. Thomas ◽  
A. Demirkol
Keyword(s):  
Stain Analysis

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

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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