Improved Imaging Process with Phenocycler 2.0
An improved multiplex imaging process for spatial analysis of cell compositions
Background
- Problem: The imaging process provided by Akoya Biosciences results in low resolution and insensitive spatial analysis
- Solution: Introduce multiple background screens in the Akoya process for higher resolution images
- Unique value proposition: The new imaging process provides high resolution and accurate spatial analysis
Technology Overview
Phenocycler 2.0 is a multiplex imaging system platform used for spatial analysis of cell compositions. However, the current imaging process provided by Akoya Biosciences leads to low resolution and incorrect outputs. Accuracy in representing vascular structures and cells spatially is imperative in both basic and translational research. For example, accurate spatial and cellular representation of the tissue is essential in drug discovery studies, such as drug treatments in animal models, to assess if the treatments are effective. Results from multiplex imaging showing certain aspects enhanced or diminished inaccurately can affect the outcomes of a scientific study that uses this technique as a way to assess the success or failure of a treatment regimen.
IU researchers have developed an improved multiplex imaging process for Phenocycler 2.0 where a blank is implemented before every imaging cycle which allows for better background correction and more accurate data output. This multiplex imaging process is particularly useful for bone marrow imaging, which is particularly challenging given the nature of the tissue.
Further Details:
- Publication: Multiplex imaging of murine bone marrow using Phenocycler 2.0
Lead PI’s for 2024‑155 technology: Melissa Kacena, Sonali Karnik, and Connor Gulbronson
Benefits
- Higher resolution and more accurate spatial analysis
Applications
- Spatial analysis for research, drug discovery and development
Opportunity
This technology is open to feedback