Rapid Spectral Unmixing Using Spectrally Interpolated Background Reduction (SIBR) for Fluorescence Imaging
This breakthrough technology introduces Spectrally Interpolated Background Reduction (SIBR), a novel process that enables the rapid and efficient calculation of fluorescence signals from individual probes in complex, multi-labeled samples. Unlike traditional methods that require extensive computational power, SIBR provides real-time unmixing of signals from more than eight distinct fluorophores, dramatically simplifying fluorescence imaging workflows.
By combining speed, precision, and scalability, SIBR transforms fluorescence imaging into a more accessible and streamlined process. Researchers can achieve high-throughput imaging without the bottleneck of heavy computation, opening the door to faster data acquisition and analysis.
With its ability to deliver unprecedented efficiency and clarity in fluorescence-based applications, SIBR represents a significant advancement in imaging technology. Its versatility makes it well-suited for use in biomedical research, diagnostics, and advanced clinical imaging, accelerating discoveries and improving outcomes across the life sciences.
- Multiplex fluorescence imaging in research and clinical settings.
- High content imaging for drug discovery and biological research.
- Non-imaging applications such as multiplex flow cytometry and Western blotting.
- Rapid unmixing of multiple fluorescent signals in real-time, enhancing throughput.
- Simple computational requirements, allowing processing on standard desktop computers.
- Reduces the need for iterative labeling and harsh solvents, preserving sample integrity.