Literature DB >> 22002723

Color standardization method and system for whole slide imaging based on spectral sensing.

Shinsuke Tani1, Yasuhiro Fukunaga, Saori Shimizu, Munenori Fukunishi, Kensuke Ishii, Kosei Tamiya.   

Abstract

In the field of whole slide imaging, the imaging device or staining process cause color variations for each slide that affect the result of image analysis made by pathologist. In order to stabilize the analysis, we developed a color standardization method and system as described below. (1) Color standardization method based on RGB imaging and multi spectral sensing, which utilize less band (16 bands) than conventional method (60 bands). (2) High speed spectral sensing module. As a result, we confirmed the following effect. (1) We confirmed the performance improvement of nucleus detection by the color standardization. And we can conduct without training data set which is needed in conventional method. (2) We can get detection performance of H&E component equivalent to conventional method (60 bands). And measurement process is more than 255 times faster.

Mesh:

Year:  2012        PMID: 22002723      PMCID: PMC4605804          DOI: 10.3233/ACP-2011-0037

Source DB:  PubMed          Journal:  Anal Cell Pathol (Amst)        ISSN: 2210-7177            Impact factor:   2.916


  7 in total

1.  Color accuracy and reproducibility in whole slide imaging scanners.

Authors:  Prarthana Shrestha; Bas Hulsken
Journal:  J Med Imaging (Bellingham)       Date:  2014-07-14

2.  A Comparative Performance Analysis of Multispectral and RGB Imaging on HER2 Status Evaluation for the Prediction of Breast Cancer Prognosis.

Authors:  Wenlou Liu; Linwei Wang; Jiuyang Liu; Jingping Yuan; Jiamei Chen; Han Wu; Qingming Xiang; Guifang Yang; Yan Li
Journal:  Transl Oncol       Date:  2016-11-08       Impact factor: 4.243

3.  An alternative reference space for H&E color normalization.

Authors:  Mark D Zarella; Chan Yeoh; David E Breen; Fernando U Garcia
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

Review 4.  Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association.

Authors:  Famke Aeffner; Mark D Zarella; Nathan Buchbinder; Marilyn M Bui; Matthew R Goodman; Douglas J Hartman; Giovanni M Lujan; Mariam A Molani; Anil V Parwani; Kate Lillard; Oliver C Turner; Venkata N P Vemuri; Ana G Yuil-Valdes; Douglas Bowman
Journal:  J Pathol Inform       Date:  2019-03-08

Review 5.  Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.

Authors:  Alex Ngai Nick Wong; Zebang He; Ka Long Leung; Curtis Chun Kit To; Chun Yin Wong; Sze Chuen Cesar Wong; Jung Sun Yoo; Cheong Kin Ronald Chan; Angela Zaneta Chan; Maribel D Lacambra; Martin Ho Yin Yeung
Journal:  Cancers (Basel)       Date:  2022-08-03       Impact factor: 6.575

6.  Color correction for automatic fibrosis quantification in liver biopsy specimens.

Authors:  Yuri Murakami; Tokiya Abe; Akinori Hashiguchi; Masahiro Yamaguchi; Akira Saito; Michiie Sakamoto
Journal:  J Pathol Inform       Date:  2013-12-31

7.  Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study.

Authors:  Wen-Lou Liu; Lin-Wei Wang; Jia-Mei Chen; Jing-Ping Yuan; Qing-Ming Xiang; Gui-Fang Yang; Ai-Ping Qu; Juan Liu; Yan Li
Journal:  Tumour Biol       Date:  2015-11-05
  7 in total

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