Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.
Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.
复制标题
免疫组织化学自动定量评分中多光谱成像的效用。
DOI:
10.1136/jclinpath-2012-200734
复制
发表时间:
2012-06
影响因子:
3.4
通讯作者:
Flavin R
中科院分区:
文献类型:
--
作者:
Fiore C;Bailey D;Conlon N;Wu X;Martin N;Fiorentino M;Finn S;Fall K;Andersson SO;Andren O;Loda M;Flavin R
Automated scanning devices and image analysis software provide a means to overcome the limitations of manual semiquantitative scoring of immunohistochemistry. Common drawbacks to automated imaging systems include an inability to classify tissue type and an inability to segregate cytoplasmic and nuclear staining. Immunohistochemistry for the membranous marker α-catenin, the cytoplasmic marker stathmin and the nuclear marker Ki-67 was performed on tissue microarrays (TMA) of archival formalin-fixed paraffin-embedded tissue comprising 471 (α-catenin and stathmin) and 511 (Ki-67) cases of prostate adenocarcinoma. These TMA were quantitatively analysed using two commercially available automated image analysers, the Ariol SL-50 system and the Nuance system from CRi. Both systems use brightfield microscopy for automated, unbiased and standardised quantification of immunohistochemistry, while the Nuance system has spectral deconvolution capabilities. Overall concordance between scores from both systems was excellent (r=0.90; 0.83–0.95). The software associated with the multispectral imager allowed accurate automated classification of tissue type into epithelial glandular structures and stroma, and a single-step segmentation of staining into cytoplasmic or nuclear compartments allowing independent evaluation of these areas. The Nuance system, however, was not able to distinguish reliably between tumour and non-tumour tissue. In addition, variance in the labour and time required for analysis between the two systems was also noted. Despite limitations, this study suggests some beneficial role for the use of a multispectral imaging system in automated analysis of immunohistochemistry.
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DOI:
10.1038/labinvest.2008.97
发表时间:
2008-12
期刊:
Laboratory investigation; a journal of technical methods and pathology
影响因子:
--
作者:
通讯作者:
--
影响因子:
7.3
作者:
Snyder, Eric L.;Sandstrom, Deborah J.;Fletcher, Christopher D. M.
通讯作者:
Fletcher, Christopher D. M.
影响因子:
6.4
作者:
Taylor, C. R.;Levenson, R. M.
通讯作者:
Levenson, R. M.
影响因子:
6.4
作者:
Faratian, Dana;Kay, Charlene;Bartlett, John M. S.
通讯作者:
Bartlett, John M. S.
影响因子:
3.4
作者:
Mansoor, Ibrahim;Zalles, Carola;Rimm, David L.
通讯作者:
Rimm, David L.