| Title |
Digital immunohistochemistry platform for the staining variation monitoring based on integration of image and statistical analyses with laboratory information system / |
| Authors |
Laurinavičienė, Aida ; Plancoulaine, Benoit ; Baltrušaitytė, Indra ; Meškauskas, Raimundas ; Besusparis, Justinas ; Lesčiūtė-Krilavičienė, Daiva ; Raudeliūnas, Darius ; Iqbal, Yasir ; Herlin, Poulette ; Laurinavičius, Arvydas |
| DOI |
10.1186/1746-1596-9-S1-S10 |
| Full Text |
|
| Is Part of |
Diagnostic pathology: Selected articles from the 12th European Congress on Digital Pathology.. London : BioMed Central. 2014, vol. 9, suppl. 1, Art. No. s10, p. [1-13].. ISSN 1746-1596 |
| Abstract [eng] |
MeanBrownBlue Intensity ((Brown+Blue)/2) and DiffBrownBlue Intensity (Brown-Blue) were introduced to better contrast the absolute intensity and the colour balance variation in each core; relevant factor scores were extracted Finally, tissue-related factors of IHC staining variance were explored in the individual tissue cores. Conclusions Our solution enabled to monitor staining of IHC multi-tissue controls by the means of IA, followed by automated statistical analysis, integrated into the laboratory workflow. We found that, even in consecutive serial tissue sections, tissue-related factors affected the IHC IA results; meanwhile, less intense blue counterstain was associated with less amount of tissue, detected by the IA tools. |
| Published |
London : BioMed Central |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2014 |
| CC license |
|
