Reflectance spectrophotometry in the gastrointestinal tract: Limitations and new applications

2002 ◽  
Vol 97 (11) ◽  
pp. 2780-2784 ◽  
Author(s):  
Francisco C. Ramirez ◽  
Sukhdeep Padda ◽  
Susan Medlin ◽  
Helen Tarbell ◽  
Felix W. Leung
2020 ◽  
Vol 16 (34) ◽  
pp. 2845-2851
Author(s):  
Leonardo S Lino-Silva ◽  
Diana L Xinaxtle

Artificial intelligence (AI) is a complex technology with a steady flow of new applications, including in the pathology laboratory. Applications of AI in pathology are scarce but increasing; they are based on complex software-based machine learning with deep learning trained by pathologists. Their uses are based on tissue identification on histologic slides for classification into categories of normal, nonneoplastic and neoplastic conditions. Most AI applications are based on digital pathology. This commentary describes the role of AI in the pathological diagnosis of the gastrointestinal tract and provides insights into problems and future applications by answering four fundamental questions.


1985 ◽  
Vol 6 (2) ◽  
pp. 52-58 ◽  
Author(s):  
Susan T. Bagley

AbstractThe genus Klebsiella is seemingly ubiquitous in terms of its habitat associations. Klebsiella is a common opportunistic pathogen for humans and other animals, as well as being resident or transient flora (particularly in the gastrointestinal tract). Other habitats include sewage, drinking water, soils, surface waters, industrial effluents, and vegetation. Until recently, almost all these Klebsiella have been identified as one species, ie, K. pneumoniae. However, phenotypic and genotypic studies have shown that “K. pneumoniae” actually consists of at least four species, all with distinct characteristics and habitats. General habitat associations of Klebsiella species are as follows: K. pneumoniae—humans, animals, sewage, and polluted waters and soils; K. oxytoca—frequent association with most habitats; K. terrigena— unpolluted surface waters and soils, drinking water, and vegetation; K. planticola—sewage, polluted surface waters, soils, and vegetation; and K. ozaenae/K. rhinoscleromatis—infrequently detected (primarily with humans).


Author(s):  
T. Imura ◽  
S. Maruse ◽  
K. Mihama ◽  
M. Iseki ◽  
M. Hibino ◽  
...  

Ultra high voltage STEM has many inherent technical advantages over CTEM. These advantages include better signal detectability and signal processing capability. It is hoped that it will explore some new applications which were previously not possible. Conventional STEM (including CTEM with STEM attachment), however, has been unable to provide these inherent advantages due to insufficient performance and engineering problems. Recently we have developed a new 1250 kV STEM and completed installation at Nagoya University in Japan. It has been designed to break through conventional engineering limitations and bring about theoretical advantage in practical applications.In the design of this instrument, we exercised maximum care in providing a stable electron probe. A high voltage generator and an accelerator are housed in two separate pressure vessels and they are connected with a high voltage resistor cable.(Fig. 1) This design minimized induction generated from the high voltage generator, which is a high frequency Cockcroft-Walton type, being transmitted to the electron probe.


2001 ◽  
Vol 120 (5) ◽  
pp. A695-A695
Author(s):  
M RUEHL ◽  
I SCHOENFELDER ◽  
R FARNDALE ◽  
G KNIGHT ◽  
R SOMASUNDARAM ◽  
...  

1963 ◽  
Vol 45 (5) ◽  
pp. 625-632 ◽  
Author(s):  
Margot Shiner ◽  
T.E. Waters ◽  
J.D. Allan Gray ◽  
R.A. Lambert

1960 ◽  
Vol 39 (2) ◽  
pp. 191-195 ◽  
Author(s):  
Alice N. Bessman ◽  
George S. Mirick ◽  
Robert Hawkins

Sign in / Sign up

Export Citation Format

Share Document