COVID-19 UPDATE:
During this unique period, clients of Reveal Biosciences are able to request quotes and upload digital images for quantitative analysis. To support efforts to contain the spread of COVID-19 and in compliance with California’s stay-at-home order, Reveal will temporarily suspend certain lab operations, such as tissue processing and slide preparation.
ARTIFICIAL INTELLIGENCE IS REVOLUTIONIZING PATHOLOGY
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pathology
Advanced pathology for preclinical research, clinical trials, and decision support
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Biopharma Services
Take advantage of our high quality histopathology research services to generate quantitative pathology end points.
imageDx
Access the the most advanced AI-powered digital assay pathology platform in the cloud.
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Incorporate AI-powered pathology decision support tools to improve patient outcomes.
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Quantitative IHC
High quality immunohistochemistry (IHC) combined with whole slide imaging and cell-by-cell quantification to advance your research.
imageDx: NASH
Access the most advanced quantitative NASH and fibrosis data from your human or rodent liver samples.
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Data powered pathology for advanced research & better patient care
News & Articles
Latest research, in the news, or at events.
NASH: IHC Digital Assays for Immune Cell Quantification
Research into developing effective treatments for non-alcoholic steatohepatitis (NASH) is becoming more important as the incidence of NASH increases in the general population. Mouse and rat models are used
Deep Learning-Based Assessment and Sophisticated Quantification for Wound Healing and Skin Metrics
The staggering cost of healthcare in America continues to rise, especially for wound healing. In 2014, wound-related healthcare expenses for Medicare beneficiaries were conservatively estimated at $28.1 billion, with
Reveal Biosciences and QuantumCyte Partner to Offer a New Generation of Multi-omic Data
Precision medicine has come a long way towards benefiting patient outcomes and enhancing research tools. In recent years, the integration of multi-scale omics from genomic, proteomic, and transcriptomic foundations
