This company develops software and hardware solutions to optimize fluorescence spectroscopy measurements. Their tools address challenges like inner filter effects and limited linear response ranges, providing seamless data management and calibration for improved accuracy in fluorescence analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Fluorescence spectroscopy measurements are often hampered by inner filter effects (IFE) and limited linear response ranges, leading to inaccurate results and the need for extensive sample preparation, including multiple dilutions. These challenges increase the time, resources, and costs associated with high-throughput fluorescence analysis.
Solution
TINFE provides software and hardware solutions designed to optimize fluorescence spectroscopy measurements by addressing the challenges of IFE and extending the linear response concentration range. The software seamlessly integrates with most modern fluorescent instruments, correcting for nonlinear responses in emission spectra through advanced signal processing. By taking multiple measurements at different settings, TINFE ensures accurate and precise data, reducing the need for re-testing and minimizing sample preparation. This enables researchers and clinicians to streamline workflows, save resources, and obtain reliable data for informed decision-making.
Target Audience
TINFE is designed for professionals in academia, research, and clinical labs who utilize fluorescence spectroscopy for high-throughput analysis in areas such as biomedicine, pharmacy, and R&D.
Features
- On-the-fly correction and IFE elimination for accurate results in high-throughput settings
- Compatibility with various instrument providers and seamless data import/export
- Capability to process values in under 30 seconds with calibration and test datasets
- Hardware adapters to enable TINFE corrections on older fluorescence spectroscopy machines
- Calibration kits for testing and calibrating optical settings
- Data export in .txt and .csv formats for processed data, and .png and .svg for graphs
- Repeatability of +/- 2% when working on different instruments