Enabling Quantitative Biopsy Analysis

A cutting-edge diagnostic platform that combines advanced nanotechnology, high-resolution optical systems, and AI-driven analysis for the precise detection and quantification of cancer biomarkers.
Vega
Vega

Innovative Multiplex
Detection Solution

Vega analysis

Vega BioImaging offers a sophisticated cancer diagnostic platform designed to address the limitations of traditional immunohistochemistry (IHC).

Our solution combines three core components:

  • Nanobead technology, an optical imaging system
  • AI-powered analysis, providing highly quantitative
  • Multiplexedbiomarker detection

How it works

Protein Kits with Functionalized Nanobeads

The biopsy is prepared and stained with Vega’s nanobeads provided in the Protein Kit.

Uniquely designed to bind to specific cancer biomarkers, our nanobeads exhibit distinct optical signatures, allowing for multiplexing, where multiple biomarkers can be detected simultaneously within a single biopsy sample. The size and composition of the nanobeads enhance light scattering properties, providing 10x greater sensitivity than traditional fluorescent markers.

Advanced Optical
Imaging System

The sample is then imaged using the optical imaging system which captures light-scattering signals from the nanobeads.

Based on light-scattering and dark-field microscopy, it enables highly sensitive and specific detection of nanobeads. Additionally, it enhances the detection sensitivity to the single-particle level, enabling the quantification of low-abundance proteins. The system is compatible with standard histopathology workflows, facilitating integration into research and clinical settings.

AI-Powered Image
Analysis

The captured images are processed by Vega’s AI algorithms to analyze the intensity, distribution, and co-localization of nanobeads within the tissue.

It quantifies biomarker expressions in each region, producing a comprehensive and objective readout. The platform incorporates advanced machine learning algorithms for automated image analysis. The system processes complex tissue microenvironments, identifying patterns of biomarker expression with high precision, enabling deeper insights into cancer subtypes and therapeutic responses.

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A Comprehensive Cancer
Diagnostic Solution

Protein kit

Protein Kit

The Vega BioImaging Protein Kit enables quantitative, multiplexed detection of cancer biomarkers using our patented nanobead technology. It provides highly sensitive, reproducible analysis of protein expression in tissue samples, offering precise insights for both research and clinical applications.

Nanobead Immunolabeling: Functionalized nanobeads target specific proteins (e.g., PD-L1, HER2), providing absolute quantification.

Multiplexing: Detects multiple biomarkers simultaneously in a single sample

Stability and Reproducibility: Ensures consistent, reliable results across tests.

Advanced Optical scanner

Advanced Optical Scanner

The Vega BioImaging Optical Scanner provides high-resolution imaging for the detection of multiple cancer biomarkers in tissue samples. It uses advanced light-scattering technology to visualize and quantify biomarker expression with exceptional sensitivity and precision.

High-Resolution Imaging: Captures light scattered by nanobeads for detailed visualization of multiple biomarkers.

Multiplexing: Enables simultaneous detection of multiple targets in a single sample without signal interference.

Consistency: Offers stable, reproducible imaging over time, reducing variability.

AI software based

AI-Based Software

The Vega BioImaging AI-based software offers automated image analysis for the identification and quantification of cancer biomarkers. Using advanced machine learning algorithms, it provides accurate, reproducible, and rapid results, enabling in-depth interpretation of tissue samples.

Automated Image Analysis: The software autonomously processes images, identifying biomarkers and measuring their expression with high precision.

Accuracy and Reliability: AI ensures consistent and reliable results across different samples and tests.

Multiple Applications: Usable for both basic and clinical research, it facilitates the analysis of large amounts of data, optimizing the diagnostic process.

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