Unlocking Deeper Insights in Pathology
We are pioneering the use of stain-free Second Harmonic Generation (SHG) imaging and ML/AI-based analysis through our innovative digital pathology platform.
Second Harmonic Generation (SHG) Imaging
This cutting-edge technique allows us to visualize key tissue structures like fibrillar collagen in incredible detail and resolution – without working with issues of staining variation. The unparalleled resolution of SHG reveals granular structures of tissues unseen using conventional methods.
Advanced Quantitative Analysis
Using SHG images, our proprietary algorithms quantify tissue architecture and morphology imperceptible to the human eye.
Leverage quantitative and objective metrics to accurately stage disease
Visualize subtle changes in microstructure to assess therapeutic response
Improve inter- and intra-observer agreement in the study of complex diseases
Obtain a 360° complete understanding to inform decisions
Second Harmonic Generation (SHG)
SHG imaging is a technique that involves a femotosecond laser interacting with non symmetrical structures within tissues to produce photons at half the wavelength of the excitation. This highlights biological structures and subtle changes within tissues in stunning detail. Compared to conventional staining and methodology, SHG offers:
- 2D/3D imaging of tissues without exogenous stains
- Enhanced visualization of collagen fibers at high resolution
- Non-destructive imaging of unstained tissue
Extensive Applications Across Diseases
Our AI computational analyses provide comprehensive and actionable data in the assessment of biological tissues for complex fibrotic diseases and oncology.
- Liver Fibrosis
- Renal Fibrosis
- Pulmonary Fibrosis
- Bone Marrow Fibrosis
- Dermal Fibrosis
- Sub-epithelial Fibrosis on Cornea
- Retinal Pigment Epithelium
- Arterial Fibrosis
- Cardiac Fibrosis
- Biliary Disease
- Muscular Dystrophy (Sarcopenia)
- Auto-Immune Hepatitis
- Breast Cancer
- Pancreatic Cancer
- Liver Cancer
- Lung Cancer
- Ovarian Cancer
- Colon Cancer
- Kidney Cancer
- Bladder Cancer
- Squamous Cell Carcinoma of the Head and Neck (SCCHN)
Our proprietary algorithm for quantification of Non-alcoholic Steatohepatitis (NASH). Using machine learning, we identified and developed indices incorporating key features that indicate the progression or regression of fibrosis, inflammation, ballooning and steatosis.
- qFIBS index, quantification of 275 features to derive measures of qFibrosis, qInflammation, qBallooning, and qSteatosis
- Colocalization analysis of Fibrosis and the activity of Non-Alcoholic Fatty Liver Disease (NAFLD)
- Zonal analysis
Our AI digital pathology platform is continuing to progress through active R&D. We are always innovating to extract deeper insights from tissue complexity and drive transformative outcomes for our partners.