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Aperio Cellular IF Algorithm Validation

Abstract

Immunohistochemistry (IHC) is a standard histological technique that has been used for the evaluation of tissue sections for decades. However, as IHC has its limitations, new techniques involving fluorescence are being utilized more and more frequently. Fluorescent immunohistochemistry (fIHC) is a valuable research technique, as it can be used to determine interactions of multiple protein biomarkers on the same tissue section at the same time (multiplexing), maximizing the amount of data that can be extracted from each sample. fIHC is also being adopted for clinical assays, e.g. detection of anti-nuclear antibodies in Systemic Lupus Erythematosus (SLE), due to the benefits that this method has over chromogenic methods. Use of these assays is considered the “gold standard” of assessment in an increasing number of clinical conditions, which is driving further use of fIHC in discovery and translational research applications. However, as these techniques require the scientist to manually assess each slide using a fluorescent microscope, this can be laborious and time consuming. Automated image analysis systems are being used with increasing frequency by researchers, to enable accurate quantification of fIHC slides, while minimizing user interaction.

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