Search: onr:"swepub:oai:DiVA.org:mau-7057" >
Quantitative chromo...
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Tollemar, VKarolinska Institutet
(author)
Quantitative chromogenic immunohistochemical image analysis in cellprofiler software.
- Article/chapterEnglish2018
Publisher, publication year, extent ...
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2018-08-08
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John Wiley & Sons,2018
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:mau-7057
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https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-7057URI
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https://doi.org/10.1002/cyto.a.23575DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:139535510URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Visual grading of chromogenically stained immunohistochemical (IHC) samples is subjective, time consuming, and predisposed to considerable inter- and intra-observer variations. The open-source digital analysis software, CellProfiler has been extensively used for fluorescently stained cells/tissues; however, chromogenic IHC staining is routinely used in both pathological and research diagnostics. The current investigation aimed to compare CellProfiler quantitative chromogenic IHC analyses against the gold standard manual counting. Oral mucosal biopsies from patients with chronic graft-versus-host disease were stained for CD4. Digitized images were manually counted and subjected to image analysis in CellProfiler. Inter-observer and inter-platform agreements were assessed by scatterplots with linear regression and Bland-Altman plots. Validation comparisons between the manual counters demonstrated strong intra-observer concordance (r(2) = 0.979), particularly when cell numbers were less than 100. Scatterplots and Bland-Altman plots demonstrated strong agreement between the manual counters and CellProfiler, with the number of positively stained cells robustly correlating (r(2) = 0.938). Furthermore, CellProfiler allowed the determination of multiple variables simultaneously, such as area stained and masking to remove any nonstained tissue and white gaps, which also demonstrated reliable agreement (r(2) = >0.9). CellProfiler demonstrated versatility with the ability to assess large numbers of images and allowed additional parameters to be quantified. CellProfiler allowed rapid high processing capacity of chromogenically stained chronic inflammatory tissue that was reliable, accurate, and reproducible and highlights potential applications in research diagnostics.
Subject headings and genre
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CellProfiler
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chromogenic
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image analysis
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immunohistochemistry
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oral mucosa
Added entries (persons, corporate bodies, meetings, titles ...)
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Tudzarovski, NKarolinska Institutet
(author)
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Boberg, EKarolinska Institutet
(author)
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Törnqvist Andrén, AKarolinska Institutet
(author)
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Al-Adili, ADepartment of Oral and Maxillofacial Surgery, Karolinska University Hospital, Stockholm, Sweden
(author)
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Le Blanc, KKarolinska Institutet
(author)
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Garming Legert, KKarolinska Institutet
(author)
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Bottai, MKarolinska Institutet
(author)
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Warfvinge, GunnarMalmö universitet,Odontologiska fakulteten (OD)(Swepub:mau)odguwa
(author)
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Sugars, R VKarolinska Institutet
(author)
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Karolinska InstitutetDepartment of Oral and Maxillofacial Surgery, Karolinska University Hospital, Stockholm, Sweden
(creator_code:org_t)
Related titles
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In:Cytometry Part A: John Wiley & Sons93:10, s. 1051-10591552-49221552-4930
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