Pictor Labs: Revolutionizing Histopathology with AI-Powered Virtual Staining

Pictor Labs is a pioneering AI company transforming histopathology by introducing non-destructive, chemical-free virtual staining technology that generates high-quality virtual stains from label-free tissue images. Designed for research applications, the platform enables faster, repeatable, and environmentally sustainable workflows, eliminating the need for traditional staining methods that consume tissue and chemicals. Its Virtual Stain Hub offers an interactive environment for real-time exploration and testing of virtual stains, supporting biomarker discovery, multiplex assay development, and biorepository research. Backed by $30 million in Series B funding and strategic investments from Labcorp, Pictor Labs is at the forefront of digital pathology innovation, with collaborations from leading organizations like PathPresenter and Pramana. The technology seamlessly integrates with existing AI and image analysis tools, making it a powerful asset for advancing biomedical research.

Key Features:

• AI-powered virtual stains from label-free tissue images
• Non-destructive staining process with no tissue loss
• Eliminates need for chemical reagents and traditional staining workflows
• Virtual Stain Hub: interactive platform for real-time testing and exploration
• Supports biomarker exploration and multiplex assay development
• Compatible with AI and image analysis tools
• Environmentally sustainable histology workflows
• Fast and repeatable results for research applications
• Strategic partnerships with PathPresenter and Pramana
• Research-use-only technology (not for diagnostics)

Pricing: Pictor Labs offers early access to its Virtual Stain Hub, with a freemium model providing foundational access and advanced features available through subscription or partnership-based arrangements.

Conclusion: Pictor Labs is a transformative force in digital pathology, delivering cutting-edge, sustainable, and efficient virtual staining solutions that empower researchers to accelerate discovery without compromising sample integrity.