Harmonize in-house and public whole slide images (WSI)-histopathology datasets to AI-ready formats, and leverage our custom solutions designed for histopathology data to accelerate analysis and insight generation.
Harmonize unstructured WSI data with a customizable, transparent curation process tailored to your criteria for faster analysis, supporting modalities like HnE staining, Immunofluorescence (IF), Spatial transcriptomics with integrated WSI and more.
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Our harmonized and curated WSI datasets undergo rigorous standardization and quality control, ensuring uniformity and reliability across all samples.
Leverage our harmonized and curated datasets across WSI modalities such as HnE staining, Immunofluorescence (IF), and more to gain deeper insights into cellular functions, tissue architecture, and gene regulation at an unprecedented resolution.
Access your in-house data and leverage our harmonization engine for curation of metadata associated with the image.
Our WSI datasets undergo a robust QA/QC process, ensuring high metadata quality.
Leverage our expertise to create custom data consumption workflows unique to your research.
Utilize integrated web applications, such as HistomicsUI, to analyze and visualize WSI data in real time.
Develop methods to integrate WSI data with other omics data types (e.g., genomics, proteomics) for a more comprehensive understanding of cellular processes.
Leverage harmonized WSI datasets to automatically detect and classify cancer types, identify high-risk subtypes, predict outcomes, and flag aggressive cases early by analyzing histological patterns and treatment responses across cohorts.
Identify and quantify protein expression levels, co-localization of markers, and spatial distribution of biomarkers. Analyze expression levels and spatial distribution of multiple biomarkers using the WSI data
Assist in rare disease diagnosis by analyzing atypical tissue morphology to detect disease-specific patterns and reveal potential therapeutic targets.
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Request extra metadata fields, use custom ontologies, or annotate cell types with your preferred marker database.
Consistently process, annotate, and QC single-cell data using scientifically validated Polly pipelines to ensure data interoperability.
Seamlessly integrate Polly into your existing infrastructure! Automate ingestion of in-house data from your data storage (ELN, S3 bucket, CROs, and more) into a central Atlas on Polly.
Focus on discovery, not data wrangling! Polly automatically cleans, harmonizes, and structures your in-house single-cell datasets, ensuring they adhere to your custom schema.
Integrate multi-modal datasets into one central Atlas to unveil hidden patterns, and expedite research breakthroughs.
Effortlessly manage and analyze TBs of both in-house and public single-cell data on Polly's secure cloud.
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All single-cell datasets delivered by Polly undergo ~50 QA checks to ensure quality and provenance.
Assess the intrinsic quality of the data (genes, cells, measurements) with comprehensive QA reports detailing the processing methodology.
Avail unrestricted data connectivity and consumption between Polly and your preferred analysis environments. Use APIs to stream harmonized data on Polly to external tools and applications.
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