liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Development of a novel tissue-mimicking color calibration slide for digital microscopy
Univ Leeds, England; Leeds Teaching Hosp NHS Trust, England.
FFEI Ltd, England.
Leeds Teaching Hosp NHS Trust, England.
Univ Leeds, England.
Show others and affiliations
2018 (English)In: Color Research and Application, ISSN 0361-2317, E-ISSN 1520-6378, Vol. 43, no 2, p. 184-197Article in journal (Refereed) Published
Abstract [en]

Digital microscopy produces high resolution digital images of pathology slides. Because no acceptable and effective control of color reproduction exists in this domain, there is significant variability in color reproduction of whole slide images. Guidance from international bodies and regulators highlights the need for color standardization. To address this issue, we systematically measured and analyzed the spectra of histopathological stains. This information was used to design a unique color calibration slide utilizing real stains and a tissue-like substrate, which can be stained to produce the same spectral response as tissue. By closely mimicking the colors in stained tissue, our target can provide more accurate color representation than film-based targets, whilst avoiding the known limitations of using actual tissue. The application of the color calibration slide in the clinical setting was assessed by conducting a pilot user-evaluation experiment with promising results. With the imminent integration of digital pathology into the routine work of the diagnostic pathologist, it is hoped that this color calibration slide will help provide a universal color standard for digital microscopy thereby ensuring better and safer healthcare delivery.

Place, publisher, year, edition, pages
WILEY , 2018. Vol. 43, no 2, p. 184-197
Keywords [en]
color calibration; digital pathology; histotechnology; spectrophotometry; whole slide imaging
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-145432DOI: 10.1002/col.22187ISI: 000424763100005OAI: oai:DiVA.org:liu-145432DiVA, id: diva2:1194650
Note

Funding Agencies|UK Technology Strategy Board [720200 2012]; Leeds Teaching Hospitals Charitable Trustees

Available from: 2018-04-03 Created: 2018-04-03 Last updated: 2019-05-01

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Treanor, Darren
By organisation
Division of Neuro and Inflammation ScienceFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Clinical pathology
In the same journal
Color Research and Application
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 104 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf