Generate percentage of positive cells for biomarkers by normalizing and autothresholding the image intensity produced by immunohistochemistry technique

摘要

A computer implemented method of analyzing tissue features based on multiplexed biometric images includes storing a data set including cell profile data and an assessment associated with a field of view or a patient. The cell profile data includes biomarker expression intensity data for at least one cell feature. The method includes normalizing the biomarker expression intensity data for each field of view. The method includes determining a plurality of positive cell percentages for a first cell feature for each field of view or for each patient based on a plurality of normalized expression cutoffs for all fields of view. The method further includes correlating positive cell percentages with assessments for each field of view or each patient. The method also includes identifying a combination of a cell feature for expression of a biomarker and a normalized expression cutoff that most closely correlate the positive cell percentage with the assessment.