Results 291 to 300 of about 2,602,393 (314)

Aeromonas species exhibit aggregative adherence to HEp-2 cells

Journal of Clinical Microbiology, 1994
Clinical and environmental isolates of Aeromonas species (five A. hydrophila isolates, three A. caviae isolates, and two A. sobria isolates) were tested for their adherence to HEp-2 cells. Clinical isolates of A. hydrophila and A. sobria exhibited aggregative adherence similar to that presented by enteroadherent-aggregative Escherichia coli.
M S, Neves, M P, Nunes, A M, Milhomem
openaire   +2 more sources

HEp-2 cell classification in indirect immunofluorescence images

2009 7th International Conference on Information, Communications and Signal Processing (ICICS), 2009
Indirect immunofluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagnosing systemic autoimmune diseases. The aim of this study is to develop an automatic scheme to identify the fluorescence pattern of HEp-2 cell in the IIF images.
Tsu-Yi Hsieh, Yi-Chu Huang, Chia-Wei Chung, Yu-Len Huang   +3 more
openaire   +1 more source

Efficient k-NN based HEp-2 cells classifier

Pattern Recognition, 2014
Human Epithelial (HEp-2) cells are commonly used in the Indirect Immunofluorescence (IIF) tests to detect autoimmune diseases. The diagnosis consists of searching and classification to specific patterns created by Anti-Nuclear Antibodies (ANAs) in the patient serum.
Roman Stoklasa, Tomáš Majtner, David Svoboda   +2 more
openaire   +1 more source

How to report the antinuclear antibodies (anti-cell antibodies) test on HEp-2 cells: guidelines from the ICAP initiative

Immunologic research, 2021
C. V. von Mühlen, I. García-De La Torre, M. Infantino, J. Damoiseaux, L. Andrade, O. G. Carballo, K. Conrad, P. L. Francescantônio, M. Fritzler, M. Herold, W. Klotz, W. de Melo Cruvinel, T. Mimori, M. Satoh, L. Musset, E. Chan   +15 more
semanticscholar   +1 more source

HEp-2 cell classification using multilevel wavelet decomposition

2014 IEEE REGION 10 SYMPOSIUM, 2014
The analysis of anti-nuclear antibodies in HEp-2 cells by Indirect Immunofluorescence (IIF) is considered a powerful, sensitive, and comprehensive test for auto-antibodies analysis for autoimmune diseases. The aim of this study is to explore the use of wavelet texture analysis for automated categorization of auto-antibodies into one of the six ...
Ranveer Katyal, Manohar Kuse, Subrat Kumar Dash   +2 more
openaire   +1 more source

Adherence and internalization of Helicobacter pylori by HEp-2 cells

Gastroenterology, 1992
Helicobacter pylori colonizes the mucous layer of the stomach and the surface of gastric mucous cells. Although H. pylori is not generally thought of as invasive, it has been observed in the lamina propria and within vacuoles in the cytoplasm of epithelial cells. The authors report that isolates of H.
D G, Evans, D J, Evans, D Y, Graham
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Early experiences in mitotic cells recognition on HEp-2 slides

2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 2010
Indirect immunofluorescence (IIF) imaging is the recommended laboratory technique to detect autoantibodies in patient serum, but it suffers from several issues limiting its reliability and reproducibility. IIF slides are observed by specialists at the fluorescence microscope, reporting fluorescence intensity and staining pattern and looking for mi ...
FOGGIA, PASQUALE, PERCANNELLA, Gennaro, P. Soda, VENTO, Mario   +3 more
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Internalization of anti-nucleolin antibody into viable HEp-2 cells

Molecular Biology Reports, 1996
Anti-nucleolin antibodies have been detected in patients with systemic connective tissue diseases (SCTD) including systemic sclerosis (SSc) and systemic lupus erythematosus (SLE). In vivo bound autoantibodies to nucleoli of epidermal keratinocytes have been demonstrated in skin from patients with SCTD. In this study, monoclonal antibody to nucleolin (D-
J S, Deng, B, Ballou, J K, Hofmeister
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Sparse Coding Induced Transfer learning for HEp-2 Cell Classification

Bio-Medical Materials and Engineering, 2014
Automated human larynx carcinoma (HEp-2) cell classification is critical for medical diagnosis. In this paper, we propose a sparse coding-based unsupervised transfer learning method for HEp-2 cell classification. First, the low level image feature is extracted for visual representation.
Anan, Liu, Zan, Gao, Hao, Tong, Yuting, Su, Zhaoxuan, Yang   +4 more
openaire   +2 more sources

HEp-2 Cell Image Classification: A Comparative Analysis

2013
HEp-2 cell image classification is an important and relatively unexplored area of research. This paper presents an experimental analysis of five different categories of feature sets with four different classifiers to determine the best performing combination of features and classifiers.
Praful Agrawal, Mayank Vatsa, Richa Singh   +2 more
openaire   +1 more source