Utilizing AI to improve analysis accuracy and turn-around time for a pre-clinical tumor model IHC study
Note: Permission has been granted for the use of this material
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.
n=176 samples, stained across 3 serial sections (1 per IHC marker), providing a total of n=528 whole slide images.
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.
All image analysis performed using Indica Labs Halo & Halo AI software.
View the Case Study
Click the thumbnail below to view the case study PDF:
Or watch the video case study presentation:
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