The startup manufactures biosensors utilizing nanofabrication technology and AI for live cell characterization and sorting. This technology enables medical professionals to efficiently conduct cancer diagnoses, drug screenings, and regenerative medicine applications.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for cell characterization often rely on destructive or labeling-dependent techniques, which can interfere with biological processes and limit the ability to monitor cells in real-time. Analyzing cellular behavior in its native state is crucial for understanding complex biological processes and developing effective therapies. Traditional methods also struggle to capture the dynamic and heterogeneous nature of cell populations at a single-cell resolution.
Solution
Cell4D offers an AI-powered mechanomics platform for label-free, real-time, and non-destructive single-cell analysis. The platform utilizes biochips to measure the mechanical forces generated by cells, providing a unique "mechanomics-fingerprint" for cell identification, classification, and monitoring of cell status. By analyzing these mechanical biomarkers, the platform enables researchers and clinicians to gain insights into cellular behavior without the need for labels or destructive methods. The platform's AI algorithms rapidly identify and classify cells, empowering advanced diagnostics, drug discovery, cell therapies, and precision medicine. This approach allows for a deeper understanding of cellular heterogeneity and dynamics, providing a more comprehensive view of biological samples.
Target Audience
The primary target audience includes researchers and clinicians in drug discovery, cell therapy development, and precision medicine who require advanced tools for single-cell analysis and characterization.
Features
- Label-free mechanomics analysis eliminating the need for costly labeling agents
- Real-time monitoring of dynamic changes in cells
- Non-destructive measurement enabling multiple analyses on the same sample
- High-throughput screening with single-cell resolution
- AI-powered identification and classification of cells based on mechanical fingerprints
- Biochips designed to measure cellular traction forces