HistoIndex’s technology integrates label-free Second Harmonic Generation (SHG) microscopy with advanced AI and machine learning algorithms to generate high-resolution images of tissue structures without chemical staining, and then extract quantitative, reproducible digital biomarkers.

 Stain-free imaging, like SHG, captures intrinsic signals from tissue structures (e.g., collagen fibers) without the need for dyes or stains, reducing variability from staining preparation, improving consistency across samples, and enabling more precise analysis compared with traditional histology staining approaches.

 Second Harmonic Generation (SHG) microscopy is a laser-based imaging technique that detects signals from non-centrosymmetric structures, such as fibrillar collagen, in unstained tissues. This allows visualization of collagen architecture with high detail and supports quantification of fibrotic changes directly from the tissue.

 qFibrosis® is an automated, quantitative fibrosis assessment algorithm developed by HistoIndex that uses SHG images and AI analysis to provide continuous measurements of fibrosis rather than traditional categorical scores, enabling more sensitive detection of disease progression and regression.

Digital pathology transforms conventional glass slide imaging into high-resolution digital whole slide images (WSI) that can be stored, shared, and analyzed with computational tools. When coupled with AI, this allows for objective, reproducible quantification of histological features and reduces observer variability inherent in manual analyses.

Yes, the technology supports a wide range of applications in fibrotic diseases (liver, renal, pulmonary, cardiac fibrosis) as well as oncology and other tissue-based studies, providing morphometric insights across multiple indications.

AI and machine learning algorithms enhance the detection and quantification of subtle tissue features that may be difficult for the human eye to discern, generating continuous metrics of structural features like collagen distribution and enabling richer data for research and clinical decision-making.

 HistoIndex’s imaging and quantification technologies such as SHG and qFibrosis® have been featured in numerous peer-reviewed scientific publications demonstrating their effectiveness in quantitative digital pathology and disease analysis.

By providing highly reproducible, quantitative measures of tissue pathology, HistoIndex’s stain-free imaging and AI analysis help reduce variability in endpoints, improve detection of treatment effects, and support robust biomarker discovery in preclinical and clinical trial settings.