Aperio vs QuPath and HALO for Positive Pixel Quantification of ER and HER2/Neu in Breast Cancer Tissue Microarrays

My project for this internship experience was to compare three different tissue analysis computer image analysis platforms with factors such as user friendliness and overall performance. To determine the performance of these programs several breast cancer tissue microarrays (TMA), stained with estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2). The TMA slides were scanned and uploaded using the Aperio Digital Imaging System, and then analyzed using the Aperio positive pixel algorithm image analysis software, in addition to two newer TMA software packages from QuPath and HALO. This study was performed to determine if the newer software packages were as reliable as Aperio in analysis of the TMAs. The final project was to create a poster based on the findings of the study and comparing the data generated from each software package to support their consistency and reliability.

Supervisor: Dr. George Sandusky
Department: Pathology and Laboratory Medicine