Literature DB >> 31969082

Optical density-based image analysis method for the evaluation of hematoxylin and eosin staining precision.

Elizabeth Chlipala1, Christine M Bendzinski1, Kevin Chu1, Joshua I Johnson1, Miles Brous1, Karen Copeland2, Brad Bolon3.   

Abstract

Staining quality and reproducibility are essential factors to monitor laboratory quality assurance. In the last decade, there has been an increase in the use of digital pathology and image analysis. While the adoption of these tools provides a potential means to track staining precision by optical density (OD), it also presents challenges. Results from image analysis are more sensitive to variations in staining than microscopic evaluation by a pathologist. There are two goals with this study. The first was to track the precision of hematoxylin and eosin (H&E) staining, in both nuclear and cytoplasmic components by OD. The second was to determine the impact of different pre-analytical and analytical variables on the OD results. Specifically, the endpoints investigated were quality parameters including impacts of section thickness, protocol manipulation, expired hematoxylin on staining precision and reproducibility of staining over time. Our results show that image analysis of H&E-stained tissue sections is a viable tool for assessing and verifying staining quality. We also show that OD analysis results for H&E-stained sections are affected by changing pre-analytical and/or reagent variables. These authors chose a graphical rather than fully statistical analysis of the results to highlight the utility of visual aids in demonstrating H&E staining reproducibility.

Entities:  

Keywords:  Reproducibility; hematoxylin and eosin; image analysis; optical density; pre-analytics; quality control; staining precision; staining reproducibility

Mesh:

Substances:

Year:  2020        PMID: 31969082     DOI: 10.1080/01478885.2019.1708611

Source DB:  PubMed          Journal:  J Histotechnol        ISSN: 0147-8885            Impact factor:   0.714


  5 in total

1.  Technical Note: Measuring the thickness of histological sections by detecting fluorescence intensity of embedding foam.

Authors:  David Ibsen Dadash-Khanlou; Benedicte Heegaard; Henrik Holten-Rossing; Thomas Hartvig Lindkær Jensen
Journal:  J Pathol Inform       Date:  2022-08-01

2.  Tizoxanide Promotes Apoptosis in Glioblastoma by Inhibiting CDK1 Activity.

Authors:  Si Huang; Jingxian Xiao; Junyong Wu; Jiayi Liu; Xueping Feng; Chengdong Yang; Daxiong Xiang; Shilin Luo
Journal:  Front Pharmacol       Date:  2022-05-25       Impact factor: 5.988

3.  Biomimetic Alginate/Gelatin Cross-Linked Hydrogels Supplemented with Polyphosphate for Wound Healing Applications.

Authors:  Shunfeng Wang; Xiaohong Wang; Meik Neufurth; Emad Tolba; Hadrian Schepler; Shichu Xiao; Heinz C Schröder; Werner E G Müller
Journal:  Molecules       Date:  2020-11-09       Impact factor: 4.411

Review 4.  Development of Planar Illumination Strategies for Solving Mysteries in the Sub-Cellular Realm.

Authors:  Tanveer Teranikar; Jessica Lim; Toluwani Ijaseun; Juhyun Lee
Journal:  Int J Mol Sci       Date:  2022-01-31       Impact factor: 5.923

5.  Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association.

Authors:  Haydee Lara; Zaibo Li; Esther Abels; Famke Aeffner; Marilyn M Bui; Ehab A ElGabry; Cleopatra Kozlowski; Michael C Montalto; Anil V Parwani; Mark D Zarella; Douglas Bowman; David Rimm; Liron Pantanowitz
Journal:  Appl Immunohistochem Mol Morphol       Date:  2021-08-01
  5 in total

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