ProbiusDx utilizes Quantum Electrochemical Spectroscopy (QES) to detect and quantify proteins, metabolites, and cells from minimal blood samples without the need for reagents or extensive sample preparation. This technology addresses the limitations of traditional bioanalytical methods by providing rapid, scalable, and data-rich insights for biomedical research and diagnostics.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional bioanalytical methods for detecting and quantifying proteins, metabolites, and cells often require extensive sample preparation, analyte-specific reagents, and complex workflows, leading to inefficiencies and scalability challenges. These methods typically provide low-fidelity or fragmented views of biological systems, hindering the development of robust AI models.
Solution
ProbiusDx offers a bioanalytical platform based on Quantum Electrochemical Spectroscopy (QES) that directly measures the vibrational signatures of molecules in biological samples. This label-free approach eliminates the need for reagents or extensive sample preparation, enabling rapid, high-throughput analysis from minimal sample volumes (2-4 µL). The QES platform generates a digital twin of the sample's biochemistry, creating multidimensional datasets suitable for integration with AI and machine learning models. The resulting data can be used for biomarker discovery, on-demand multiplex assays, preclinical model organism analysis, and quality control in bioproduction and synthetic biology.
Target Audience
The primary target audience includes researchers in biosciences, pharmaceutical companies, and synthetic biology organizations seeking to accelerate biomarker discovery, streamline bioanalytical development, and improve quality control processes.
Features
- Quantum Electrochemical Spectroscopy (QES) technology for label-free detection and quantification of proteins, metabolites, and cells
- Minimal sample preparation and no requirement for analyte-specific reagents
- Rapid data acquisition in approximately 30 minutes per run, with parallel processing of up to six samples
- Capability to analyze various sample types, including whole blood, serum, plasma, culture broth, and food samples
- Generation of digital twins of biological samples, creating datasets compatible with AI algorithms
- Cloud-based bioanalytical services for on-demand data analysis and experiment replication
- MiniQES instrument with six vials per run, allowing for increased throughput with multiple instruments