ODMR Fluorescence Measurement With Common-Mode Noise Rejection
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Solution Overview
Problem
Magnetic measurement apparatuses using Optically Detected Magnetic Resonance (ODMR) suffer from low measurement accuracy due to noise components in the irradiation light, particularly affecting the fluorescence signal.
Innovation Solution
A measurement apparatus and method that utilize common mode rejection (CMR) and digital filtering to reduce noise components in the fluorescence signal by using a reference light branch for noise cancellation and high-frequency magnetic field generators to perform electron spin quantum operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ODMR measurement is performed using fluorescence detection, then magnetic field measurement capability is achieved, but measurement precision deteriorates due to noise components in irradiation light
Solution Approach 1:
The excitation light is divided into two separate paths: one path irradiates the magnetic resonance member to generate fluorescence signal, while the other path serves as a reference light path. This segmentation allows independent processing of the signal path and reference path, enabling noise cancellation through comparison.
Solution Approach 2:
Reference light acts as an intermediary to carry information about noise components present in the excitation light. By measuring the reference light separately and using it to cancel noise in the fluorescence signal, the intermediary enables indirect noise removal without directly interfering with the measurement process.
2Measurement precision
If common mode rejection processing is applied to reduce noise, then measurement accuracy improves, but device complexity increases due to additional light paths and processing units
Solution Approach 1:
The reference light path serves multiple functions: it monitors noise components in the excitation light, provides a basis for common mode rejection processing, and enables calibration of the measurement system. This multi-functionality reduces the need for separate dedicated components for each function.
Solution Approach 2:
The system implements feedback by continuously monitoring the reference light signal and using it to adjust or cancel noise components in the fluorescence signal through common mode rejection processing. This feedback mechanism automatically compensates for noise variations without requiring manual intervention.
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 solution effectively reduces noise components in the fluorescence signal, thereby enhancing measurement accuracy and precision.
Implementation Method 1
Optically Detected Magnetic Resonance based on an electron spin resonance of a sensing member
Implementation Method 2
a light emitting device that emits excitation light with which the magnetic resonance member should be irradiated
Implementation Method 3
a fluorescence light receiving device that receives fluorescence emitted by the magnetic resonance member correspondingly to the excitation light and generates a fluorescence sensor signal corresponding to an intensity of the fluorescence
Data Source
AI summary
A light receiving device 13 receives fluorescence emitted by a magnetic resonance member 1 correspondingly to excitation light and generates a fluorescence sensor signal corresponding to an intensity of the fluorescence. A CMR calculation unit 25 performs for the fluorescence sensor signal common mode rejection based on a reference sensor signal generated by receiving a reference light obtained as a branch of the excitation light and thereby generates a CMR signal. An analog-digital converter 26 digitizes the CMR signal and an analog-digital converter 27 digitizes a reference light sensor signal. The processor 31 divides the digitized CMR signal by the digitized reference light sensor signal and thereby generates a detection signal, and derives a measurement value of the measurement target field on the basis of the detection signal; and performs a noise-removal digital filter process for the digitized CMR signal or the detection signal.