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Utilizing AI to improve analysis accuracy and turn-around time for a pre-clinical tumor model IHC study

OracleBio Case Study

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Study Background

Utilizing AI to improve analysis accuracy and turn-around time for a pre-clinical tumor model IHC study.

This study’s aim was to quantify macrophage (F4/80 marker), vasculature (CD31 marker) and cytotoxic T-cell (CD8 marker) immunohistochemical (IHC) staining in viable tumor across n=10 different syngeneic tumor models.

Sample Details

n=176 samples, stained across 3 serial sections (1 per IHC marker), providing a total of n=528 whole slide images.

Staining

All samples were stained via single chromogenic IHC using Di-amino benzidine (DAB) chromogen (brown) to highlight positive staining. Nuclei were counterstained blue with haematoxylin.

Analysis

All image analysis performed using Indica Labs Halo & Halo AI software.

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Multiplex Digital Phenotyping of the Tumour Microenvironment AACR 2021

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Benefits of Working with OracleBio for your Clinical Studies:

 

  • Data you can trust – We have thorough quality control procedures in place throughout our workflow to ensure the data we provide is of a high-quality standard
  • Work alongside Clinical Project managers – experienced with ensuring data parity between time-separated batches of clinical samples