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May 6, 2014PLoS ONEOpen Access

IHC Profiler: An Open Source Plugin for the Quantitative Evaluation and Automated Scoring of Immunohistochemistry Images of Human Tissue Samples

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Authors

FVFrency VargheseWaters (United States)ABAmirali B. BukhariUniversity of AlbertaRMRenu MalhotraTata Memorial Hospital

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Implication

Randomized trial evaluates automated scoring effectiveness in tissue samples, suggesting improved accuracy in analysis.

Key Points

  • The aim is to create an automated method for unbiased, quantitative assessment of antibody staining intensity in immunohistochemistry images.
  • Developed the IHC Profiler plugin compatible with ImageJ for digital image analysis.
  • Implemented spectral deconvolution to separate color spectra of DAB/hematoxylin.
  • Analyzed 1703 DAB stained IHC images, comparing automated scores to manual scoring.
  • Achieved an 88.6% match between automated scores and manual pathological analysis (P<0.0001, CI=95%).
  • Enhanced accuracy of scoring compared to traditional methods, potentially minimizing inter-observer variations.

Cite This Study

Varghese et al. (2014) studied this question.

synapsesocial.com/papers/69d83c0b33ca018b39ae377fhttps://doi.org/10.1371/journal.pone.0096801
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