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Pristima Web Preclinical Software Logo

Optimize Histology Workflows with Pristima Web Core Histology: Comprehensive Sample Processing and Data Management

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Pristima Web Preclinical Software Logo

Optimize Histology Workflows with Pristima Web Core Histology: Comprehensive Sample Processing and Data Management

Download Brochure

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Elevate Your Histology Process: Integrated, Comprehensive Sample Tracking

The Pristima Web Core Histology module offers a comprehensive online solution for managing the entire histology process and sample tracking. This module integrates necropsy and histology workflows, improving tissue analysis efficiency and data accuracy. Users can manage blocking lists, generate and print jars, cassettes, and slides, and handle wet tissue processing, trimming, embedding, and staining. The module also allows for advanced reporting and seamless integration with the Pristima Web Core Necropsy and Pathology modules. With robust features for accurate data capture and secure storage, Pristima Web Core supports quality, efficiency, and compliance in preclinical research. Developed by Xybion, it bridges the gap between business, animal management, and scientific research.

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Why Pristima Web Core?

Pristima Web Core Histology enhances your preclinical research with its fully integrated, comprehensive solution. It supports toxicology and pathology data management, study management, vivarium management, veterinary care, operations, and compliance, bridging gaps between business, animal management, and scientific research.

The module integrates necropsy and histology workflows, optimizing tissue analysis from collection to processing. Key features include blocking list management, jar and cassette generation, wet tissue processing, trimming, embedding, microtomy, staining, screening, and advanced reporting. It also integrates with Pristima Web Core Necropsy and Pathology Modules for seamless data capture and storage.

Pristima Web Core Histology ensures efficient, precise, and compliant research processes, making it a top choice for managing histology in preclinical research.

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