Literature DB >> 7525512

Standardization of reagents and methods used in cytological and histological practice with emphasis on dyes, stains and chromogenic reagents.

H O Lyon1, A P De Leenheer, R W Horobin, W E Lambert, E K Schulte, B Van Liedekerke, D H Wittekind.   

Abstract

The need for the standardization of reagents and methods used in the histology laboratory is demonstrated. After definitions of dyes, stains, and chromogenic reagents, existing standards and standards organizations are discussed. This is followed by practical instructions on how to standardize dyes and stains through the preparation of reference materials and the development of chromatographic methods. An overview is presented of the problems concerned with standardization of the Romanowsky-Giemsa stain for cytological and histological application. Finally, the problem of how to convince routine dye and stain users of the need for standardization in their histology laboratories is discussed.

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Year:  1994        PMID: 7525512     DOI: 10.1007/bf00158587

Source DB:  PubMed          Journal:  Histochem J        ISSN: 0018-2214


  49 in total

1.  Dye standards, Part II. 4: Victoria blue B (CI 44045). European Committee for Clinical Laboratory Standards (ECCLS), Subcommittee on Reference Materials for Tissue Stains (SRMTS).

Authors: 
Journal:  Histochem J       Date:  1992-04

2.  5,6-DIHYDROXY INDOLE AS A SUBSTRATE IN A HISTOCHEMICAL PEROXIDASE REACTION.

Authors:  M VAN DER PLOEG
Journal:  J R Microsc Soc       Date:  1964-12

3.  Stability study of Azure B, Eosin Y and commercial Romanowsky Giemsa stock solutions using high performance liquid chromatography.

Authors:  B M Van Liedekerke; H J Nelis; D H Wittekind; A P De Leenheer
Journal:  Histochem J       Date:  1991-04

4.  Stability of azure B-eosin Y staining solutions.

Authors:  M Bins; W Huiges; M R Halie
Journal:  Br J Haematol       Date:  1985-01       Impact factor: 6.998

5.  [Romanowsky dyes and the Romanowsky-Giemsa effect. 4. Binding of azure B to DNA].

Authors:  R Müller-Walz; H W Zimmermann
Journal:  Histochemistry       Date:  1987

6.  [Romanowsky dyes and romanowsky-Giemsa effect. 1. Azure B, purity and content of dye samples, association (author's transl)].

Authors:  E Zipfel; J R Grezes; W Seiffert; H W Zimmermann
Journal:  Histochemistry       Date:  1981

7.  The history of the Stain Commission. III. Birth of the Strain Commission. 1922-3.

Authors:  H J Conn
Journal:  Stain Technol       Date:  1981-01

8.  Methyl Green-Pyronin staining with pure Pyronin Y.

Authors:  H Lyon; P Jakobsen; P P Clausen; A P Andersen
Journal:  Histochem J       Date:  1983-06

9.  The degradation of Romanowsky-type blood stains in methanol.

Authors:  W W Dean; M Stastny; G J Lubrano
Journal:  Stain Technol       Date:  1977-01

10.  Batch variations in commercial dyes employed for Romanowsky-type staining: a thin-layer chromatographic study.

Authors:  P N Marshall; S M Lewis
Journal:  Stain Technol       Date:  1974-11
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  7 in total

1.  Dielectrophoretic segregation of different human cell types on microscope slides.

Authors:  Chandra M Das; Frederick Becker; Suzanne Vernon; Jamileh Noshari; Celine Joyce; Peter R C Gascoyne
Journal:  Anal Chem       Date:  2005-05-01       Impact factor: 6.986

Review 2.  Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review.

Authors:  Asha Das; Madhu S Nair; S David Peter
Journal:  J Digit Imaging       Date:  2020-10       Impact factor: 4.056

3.  Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histology.

Authors:  Brandon Ginley; John E Tomaszewski; Rabi Yacoub; Feng Chen; Pinaki Sarder
Journal:  J Med Imaging (Bellingham)       Date:  2017-02-28

4.  Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.

Authors:  Patrick Leo; George Lee; Natalie N C Shih; Robin Elliott; Michael D Feldman; Anant Madabhushi
Journal:  J Med Imaging (Bellingham)       Date:  2016-10-24

5.  Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network.

Authors:  Zabit Hameed; Begonya Garcia-Zapirain; José Javier Aguirre; Mario Arturo Isaza-Ruget
Journal:  Sci Rep       Date:  2022-09-16       Impact factor: 4.996

6.  Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology.

Authors:  A Adamo; A Bruno; G Menallo; M G Francipane; M Fazzari; R Pirrone; E Ardizzone; W R Wagner; A D'Amore
Journal:  Ann Biomed Eng       Date:  2022-02-16       Impact factor: 3.934

7.  Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study.

Authors:  Patrick Leo; Robin Elliott; Natalie N C Shih; Sanjay Gupta; Michael Feldman; Anant Madabhushi
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

  7 in total

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