Traditional laser scanning microscopes (LSMs) struggle with low image contrast and poor signal-to-noise ratios (SNR), especially when capturing fine details in biological and material samples. To improve contrast and SNR, prior solutions increased laser power, which risks damaging samples, or extended acquisition time, which slows imaging. Short-pulse lasers can help but have inherent limitations.
Core Features
This invention introduces an Electrical High-Order Modulation Extraction Module that significantly enhances image contrast and SNR without increasing laser power or acquisition time. The module uses advanced signal processing techniques to extract high-order modulation signals (such as first-order modulation, 1M) from the frequency domain, converting them to a DC signal for data acquisition. It includes:
1. DC Blocking Filter: Removes direct current noise from detected signals.
2. Function Generator: Generates a local oscillation frequency aligned with laser repetition.
3. Mixer and Low-Pass Filter: Combine signals to isolate high-contrast components.
4. Phase Shifter and Amplifier: Fine-tune signals for optimal quality.
Innovative Step
Unlike traditional methods, this approach converts the high-order modulation signal to a DC frequency, preserving image format compatibility while significantly boosting contrast and SNR. It uniquely reduces noise by isolating signals with superior clarity, even at deeper imaging depths.
Benefits
- Enhanced Image Quality: Sharper, more detailed images without increasing power or acquisition time.
- Faster Imaging: Shortens acquisition time while maintaining depth.
- Reduced Sample Damage: Uses standard laser power, preserving delicate biological structures.
- Broad Applicability: Effective for both coherent and incoherent nonlinear optical imaging, including advanced techniques like two-photon and three-photon fluorescence microscopy.
Broader Impact
This breakthrough technology enables researchers to capture clearer, more accurate images faster, advancing biomedical research and materials science. Its ability to improve imaging depth and reduce noise benefits applications from cellular studies to industrial inspections, fostering innovation and enhancing research accuracy.