Literature DB >> 27607349

Colour in digital pathology: a review.

Emily L Clarke1,2, Darren Treanor1,2.   

Abstract

Colour is central to the practice of pathology because of the use of coloured histochemical and immunohistochemical stains to visualize tissue features. Our reliance upon histochemical stains and light microscopy has evolved alongside a wide variation in slide colour, with little investigation into the implications of colour variation. However, the introduction of the digital microscope and whole-slide imaging has highlighted the need for further understanding and control of colour. This is because the digitization process itself introduces further colour variation which may affect diagnosis, and image analysis algorithms often use colour or intensity measures to detect or measure tissue features. The US Food and Drug Administration have released recent guidance stating the need to develop a method of controlling colour reproduction throughout the digitization process in whole-slide imaging for primary diagnostic use. This comprehensive review introduces applied basic colour physics and colour interpretation by the human visual system, before discussing the importance of colour in pathology. The process of colour calibration and its application to pathology are also included, as well as a summary of the current guidelines and recommendations regarding colour in digital pathology.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  colour calibration; colour standardization; digital pathology; whole slide imaging

Mesh:

Substances:

Year:  2017        PMID: 27607349     DOI: 10.1111/his.13079

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  11 in total

1.  Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Authors:  Famke Aeffner; Hibret A Adissu; Michael C Boyle; Robert D Cardiff; Erik Hagendorn; Mark J Hoenerhoff; Robert Klopfleisch; Susan Newbigging; Dirk Schaudien; Oliver Turner; Kristin Wilson
Journal:  ILAR J       Date:  2018-12-01

2.  Colorimetrical uncertainty of a hyperspectral imaging microscopy system for assessing whole-slide imaging devices.

Authors:  Paul Lemaillet; Wei-Chung Cheng
Journal:  Biomed Opt Express       Date:  2020-02-19       Impact factor: 3.732

3.  Colorimetrical uncertainty estimation for the performance assessment of whole slide imaging scanners.

Authors:  Paul Lemaillet; Kazuyo Takeda; Andrew C Lamont; Anant Agrawal
Journal:  J Med Imaging (Bellingham)       Date:  2021-10-07

4.  Comparative Assessment of Digital Pathology Systems for Primary Diagnosis.

Authors:  Sathyanarayanan Rajaganesan; Rajiv Kumar; Vidya Rao; Trupti Pai; Neha Mittal; Ayushi Sahay; Santosh Menon; Sangeeta Desai
Journal:  J Pathol Inform       Date:  2021-06-09

5.  Fast-Response and Reusable Oxytetracycline Colorimetric Strips Based on Nickel (II) Ions Immobilized Carboxymethylcellulose/Polyacrylonitrile Nanofibrous Membranes.

Authors:  Mohammed Awad Abedalwafa; Yan Li; Xiaojun Lv; Lu Wang
Journal:  Materials (Basel)       Date:  2018-06-06       Impact factor: 3.623

6.  Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM).

Authors:  Hassaan Majeed; Adib Keikhosravi; Mikhail E Kandel; Tan H Nguyen; Yuming Liu; Andre Kajdacsy-Balla; Krishnarao Tangella; Kevin W Eliceiri; Gabriel Popescu
Journal:  Sci Rep       Date:  2019-10-11       Impact factor: 4.379

7.  Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin.

Authors:  Francesco Bianconi; Jakob N Kather; Constantino Carlos Reyes-Aldasoro
Journal:  Cancers (Basel)       Date:  2020-11-11       Impact factor: 6.639

8.  A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working.

Authors:  Alexander I Wright; Emily L Clarke; Catriona M Dunn; Bethany J Williams; Darren E Treanor; David S Brettle
Journal:  J Pathol Inform       Date:  2020-07-16

9.  A Quantitative Digital Analysis of Tissue Immune Components Reveals an Immunosuppressive and Anergic Immune Response with Relevant Prognostic Significance in Glioblastoma.

Authors:  Miguel A Idoate Gastearena; Álvaro López-Janeiro; Arturo Lecumberri Aznarez; Iñigo Arana-Iñiguez; Francisco Guillén-Grima
Journal:  Biomedicines       Date:  2022-07-21

10.  Label-free quantitative evaluation of breast tissue using Spatial Light Interference Microscopy (SLIM).

Authors:  Hassaan Majeed; Tan Huu Nguyen; Mikhail Eugene Kandel; Andre Kajdacsy-Balla; Gabriel Popescu
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.