3D InSight™ Oncology and Immunology Platform
Uncover valuable insights into mechanisms of action and the effect of multiple cell types in oncology by using our 3D, physiologically relevant, tumor microenvironment in microscale model
Conventional, 2D-monolayer cell line-derived tumor models produce generic oncology readouts for viability. The outdated flat biology, which is not representative of tumor and patient heterogeneity is unable to fully capture the unpredictable progression of a complex disease like cancer.
Our 3D InSight™ Oncology platform provides tumor models that enable you to study cellular interaction in 3D. Our technology enhances the ability to assess various phenotypic characteristics that can accurately predict different aspects of in vivo biology.
Why Oncology and Immunology with InSphero?
Conventional 2D models are outdated
Our 3D Insight ™ Oncology platform provides tumor models that enable you to study every cellular interaction in 3D.
Scalable, industry-ready tumor spheroids
Enhance your drug investigation by using our scalable 3D InSight™ oncology platform reproducing the complex tumor micro-environment.
Monitoring the immune component in cancer biology
Measuring various facets of the tumor-immune interaction in a scalable model is key to understanding therapeutic resistance, especially for IO indications.
Make go/no-go decisions early
Incorporating physiologically relevant, multi-cell oncology models at the beginning of the hit-to-lead process results in less attrition so informed decisions are made earlier.
Our Approach
Target Identification and Validation
Identification and validation of potential drug targets in a physiologically relevant context
Modeling tumor heterogeneity and patient diversity
Use genomically characterized patient-derived xenograft (PDX) models to reflect the heterogeneity seen in patients
High throughput screening
High throughput screening with multiplexed endpoints provides rich datasets that allow for rational decision-making
Modular platform
Build tumor models with differing layers of complexity and throughput to interrogate different biological questions for therapeutic compounds in question