LabTints Digital Slide Staining

LabTints™ Digital Slide Staining, offered by Labtools.AI, is an AI-powered platform that enables life science researchers and pathology teams to digitally perform H&E stains or custom stains directly from brightfield microscopy images — without the need for physical reagents or manual staining workflows. The platform is designed for laboratories seeking to modernize tissue analysis, reduce costs, and accelerate throughput across both individual slides and whole-slide imaging datasets.

By leveraging customized machine learning models, LabTints™ transforms existing brightfield images into digitally stained outputs, opening up new experimental possibilities while eliminating the time and material costs associated with traditional wet-lab staining procedures.

Core Staining Capabilities

• Digitally perform Hematoxylin and Eosin (H&E) stains using brightfield microscopy images
• Apply custom staining profiles tailored to specific tissue types or experimental requirements
• Process both individual microscopy images and whole-slide images within a single workflow

AI-Powered Analysis

• Automate microscopy analysis using customized AI models trained for specific tissue and staining contexts
• Run machine learning models on existing image datasets to unlock new analysis opportunities without additional sample preparation
• Analyze thousands of images per second, enabling high-throughput processing at scale

Cost and Efficiency Benefits

• Save on reagent costs by replacing physical staining steps with digital equivalents
• Reduce the time and labor associated with manual slide analysis
• Deliver results at a lower cost than traditional manual analysis workflows
• Enable new experimental directions by applying digital stains retrospectively to previously captured brightfield images

LabTints™ Digital Slide Staining is suited for research institutions, pharmaceutical organizations, and pathology labs looking to integrate AI-driven image analysis into their tissue evaluation pipelines, offering a scalable and cost-effective alternative to conventional staining and manual review processes.