Literature DB >> 36268070

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

David Ibsen Dadash-Khanlou1, Benedicte Heegaard1, Henrik Holten-Rossing2, Thomas Hartvig Lindkær Jensen1,2.   

Abstract

Fluorescence intensity of embedding foam in paraffin blocks can be used to measure the thickness of histological microsections. We embedded samples of embedding foam and produced several microsections of varying thicknesses using routine processing and staining. Fluorescence intensity in the blue area of the embedding foam detected with a slide scanner was compared to absolute thickness as measured using confocal microscopy. Correlation analysis displayed a clear linear correlation with convincingly low prediction interval. The concept of measuring thickness of histological microsections by detecting fluorescence intensity of embedding foam is suggested as an approach to high-throughput measuring of histological sections applicable for a fully digitized pathology department. No acquisition of dedicated equipment is required and the method can be applied as a fully automated technique requiring no time consumption.
© 2022 The Authors.

Entities:  

Keywords:  Digital pathology; Histological microsection thickness; Image analysis; Whole slide imaging

Year:  2022        PMID: 36268070      PMCID: PMC9577127          DOI: 10.1016/j.jpi.2022.100131

Source DB:  PubMed          Journal:  J Pathol Inform


  9 in total

1.  A simple method of measuring the thickness of semi-thin and ultra-thin sections.

Authors:  K S Bedi
Journal:  J Microsc       Date:  1987-10       Impact factor: 1.758

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

Authors:  Elizabeth Chlipala; Christine M Bendzinski; Kevin Chu; Joshua I Johnson; Miles Brous; Karen Copeland; Brad Bolon
Journal:  J Histotechnol       Date:  2020-01-23       Impact factor: 0.714

3.  How thick is your section? The influence of section thickness on DNA-cytometry on histological sections.

Authors:  A Gschwendtner; T Mairinger
Journal:  Anal Cell Pathol       Date:  1995-07       Impact factor: 2.916

4.  Automatic section thickness determination using an absolute gradient focus function.

Authors:  D T Elozory; K A Kramer; B Chaudhuri; O P Bonam; D B Goldgof; L O Hall; P R Mouton
Journal:  J Microsc       Date:  2012-10-18       Impact factor: 1.758

5.  Practicable methods for histological section thickness measurement in quantitative stereological analyses.

Authors:  Cyrill Matenaers; Bastian Popper; Alexandra Rieger; Rüdiger Wanke; Andreas Blutke
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

6.  Impact of Preanalytical Factors During Histology Processing on Section Suitability for Digital Image Analysis.

Authors:  Elizabeth A Chlipala; Mark Butters; Miles Brous; Jessica S Fortin; Roni Archuletta; Karen Copeland; Brad Bolon
Journal:  Toxicol Pathol       Date:  2020-11-28       Impact factor: 1.902

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Authors:  Amélie Viratham Pulsawatdi; Stephanie G Craig; Victoria Bingham; Kris McCombe; Matthew P Humphries; Seedevi Senevirathne; Susan D Richman; Phil Quirke; Leticia Campo; Enric Domingo; Timothy S Maughan; Jacqueline A James; Manuel Salto-Tellez
Journal:  Mol Oncol       Date:  2020-09-01       Impact factor: 6.603

8.  Tissue Thickness Interferes With the Estimation of the Immunohistochemical Intensity: Introduction of a Control System for Managing Tissue Thickness.

Authors:  Shinobu Masuda; Ryohei Suzuki; Yuriko Kitano; Haruna Nishimaki; Hiroko Kobayashi; Yoko Nakanishi; Hideo Yokoi
Journal:  Appl Immunohistochem Mol Morphol       Date:  2021-02-01

9.  Quality control stress test for deep learning-based diagnostic model in digital pathology.

Authors:  Birgid Schömig-Markiefka; Alexey Pryalukhin; Wolfgang Hulla; Andrey Bychkov; Junya Fukuoka; Anant Madabhushi; Viktor Achter; Lech Nieroda; Reinhard Büttner; Alexander Quaas; Yuri Tolkach
Journal:  Mod Pathol       Date:  2021-06-24       Impact factor: 7.842

  9 in total

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