Solid-State Photomultiplier Adaptive Bias Control for Signal-to-Noise Ratio
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Solution Overview
Problem
Solid-state photomultipliers (SSPMs) face challenges with high dark count rates and limited dynamic range, which are undesirable in applications requiring efficient detection at low light levels, such as Laser gel and blot scanners.
Innovation Solution
A solid-state photomultiplier module with a microcontroller that adaptively changes the bias voltage based on photon flux to optimize the signal-to-noise ratio, incorporating a conditioning circuit to accumulate charge and an illumination system with a filter to block emission wavelengths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SSPM operates with fixed bias voltage, then device simplicity is maintained, but signal-to-noise ratio is suboptimal
Solution Approach 1:
The patent implements dynamic bias voltage adjustment by replacing the fixed voltage source with a controllable voltage source that can adaptively change the bias voltage based on detected photon flux levels. This dynamic adjustment optimizes the signal-to-noise ratio across varying light conditions while managing dark count rates, directly resolving the contradiction between measurement precision and device complexity.
2Adaptability or versatility
If SSPM uses limited microcells, then device complexity is reduced, but dynamic range is restricted
Solution Approach 1:
The patent extends dynamic range by implementing multi-range bias voltage control that adapts to different photon flux levels. By changing the bias voltage parameter dynamically, the system achieves effective dynamic range extension without increasing the physical number of microcells, thus resolving the contradiction between adaptability and device complexity.
3Reliability
If SSPM operates at high bias voltage, then detection efficiency is improved, but dark count rate increases
Solution Approach 1:
The patent implements dynamic bias voltage adjustment that adapts to different photon flux levels. By reducing bias voltage during low-light conditions and increasing it during high-light conditions, the system optimizes detection efficiency while minimizing dark count rates, directly resolving the contradiction between reliability and harmful factors.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The adaptive bias voltage optimization significantly improves the signal-to-noise ratio by up to 30% and extends the dynamic range, enabling efficient detection of low light levels and reducing integration time, thus enhancing the performance of scanning imaging systems.
Implementation Method 1
a solid state photo multiplier to detect a photon flux and generate electrical signals based on impinging photons
Implementation Method 2
The SSPMs include a scintillating material that illuminates upon a reception of energy. The array of photodiodes detect illumination of the scintillating material. Since the light produced in the scintillation material is proportional to the energy of the absorbed event
Data Source
AI summary
A scanning imaging system is provided. The scanning imaging system comprises an illumination source for illuminating a sample with an excitation light, a filter to block emission light wavelengths from the illumination source. Further, the scanning imaging system comprises a SSPM module comprising a solid state photo multiplier to detect a photon flux and generate electrical signals based on impinging photons; a conditioning circuit to accumulate charge from the SSPM and a micro-controller to change a bias voltage applied to the SSPM to achieve a higher signal-to-noise ratio.