AI Digital Pathology for Fibrosis in MASH and MASLD
Refining Pathology's Lens
We unveil unprecedented insights into fibrosis on tissue biopsies using our stain-free, AI-based digital pathology platform, enabling our partners to accelerate therapeutics.
Stain-free Imaging and AI Image Analysis
Augmenting Fibrosis Analysis
Our proprietary technology integrates label-free Second Harmonic Generation imaging and explainable AI to consistently visualize and quantify subtleties within biological tissues that conventional methods miss. By analyzing key morphological and architectural markers, we provide translatable data from preclinical studies to clinical trials.
Accelerating Therapeutic Development for Fibrosis
Mining Deep Data with Digital Pathology
Our imaging and analysis services accelerate advancements and regulatory approvals across the drug development and clinical diagnostic value chain.
Preclinical to Clinical Translatability
Enhancing Clinical Trial Efficiency and Success
Clinical Diagnostics Development
Transforming MASH Diagnostics with Next-generation Clinical Testing Solutions
Who We Partner With
Industry
Academy
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HistoIndex FAQs
HistoIndex is a leader in AI-powered digital pathology and stain-free imaging technology that quantifies disease features, such as fibrosis in liver tissue, with objective, reproducible data. Our platform combines advanced imaging with explainable AI to support research, clinical trials, and clinical diagnostics.
Digital pathology involves scanning glass slides into high-resolution digital whole slide images (WSI) and applying computational analytics. HistoIndex uses AI-driven algorithms to analyze these images, enabling precise quantification of histological features and reducing subjective variability that occurs with manual microscopy.
Stain-free imaging, such as Second Harmonic Generation (SHG) microscopy, visualizes tissue without chemical stains, capturing intrinsic signals from biological structures. This method produces consistent imaging data that can be quantitatively analyzed for morphological features like collagen in fibrosis, improving accuracy over traditional stains.
While HistoIndex is widely known for liver fibrosis evaluation, including MASH (Metabolic dysfunction-associated steatohepatitis), its technologies also support broader research into fibrotic diseases and tissue architecture analysis relevant to drug development and diagnostic pipelines.
Artificial intelligence augments histology by identifying subtle patterns and features in tissue that may be difficult for the human eye to detect, delivering quantitative metrics rather than subjective scores, increasing consistency and accuracy in analysis.
Yes, the digital pathology platform supports remote data transfer and analysis, facilitating collaborations across geographic regions and enabling researchers and clinicians worldwide to access robust quantitative histology data.
By transforming complex histological images into objective, reproducible measurements, HistoIndex supports data-driven interpretations, enhancing diagnostic confidence and offering deeper insights into disease progression or therapeutic impact.
HistoIndex and its proprietary metrics such as qFibrosis® have been featured in peer-reviewed studies and scientific publications demonstrating quantitative digital pathology’s efficacy and reproducibility in disease assessment.