SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:mau-7057"
 

Sökning: id:"swepub:oai:DiVA.org:mau-7057" > Quantitative chromo...

Quantitative chromogenic immunohistochemical image analysis in cellprofiler software.

Tollemar, V (författare)
Karolinska Institutet
Tudzarovski, N (författare)
Karolinska Institutet
Boberg, E (författare)
Karolinska Institutet
visa fler...
Törnqvist Andrén, A (författare)
Karolinska Institutet
Al-Adili, A (författare)
Department of Oral and Maxillofacial Surgery, Karolinska University Hospital, Stockholm, Sweden
Le Blanc, K (författare)
Karolinska Institutet
Garming Legert, K (författare)
Karolinska Institutet
Bottai, M (författare)
Karolinska Institutet
Warfvinge, Gunnar (författare)
Malmö universitet,Odontologiska fakulteten (OD)
Sugars, R V (författare)
Karolinska Institutet
visa färre...
 (creator_code:org_t)
2018-08-08
2018
Engelska.
Ingår i: Cytometry Part A. - : John Wiley & Sons. - 1552-4922 .- 1552-4930. ; 93:10, s. 1051-1059
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Nyckelord

CellProfiler
chromogenic
image analysis
immunohistochemistry
oral mucosa

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy