Structured Illumination Imaging for High Dynamic Range Protein Detection
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Solution Overview
Problem
Current imaging systems for 2DE gels have a limited dynamic range, leading to inaccurate measurements due to pixel saturation and inability to capture the full intensity range of protein signals, especially for high-abundance proteins which saturate detectors, while low-abundance proteins require longer exposures, resulting in incomplete data collection.
Innovation Solution
A structured illumination imaging system that iteratively collects data by using a light source controlled on a pixel-by-pixel basis, creating a mask to avoid saturation in high-intensity areas and increase exposure times for lower-intensity regions, allowing for accurate measurement across a wide dynamic range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-field illumination is used to detect low-abundance proteins with longer exposures, then sensitivity for low-abundance proteins is improved, but pixel saturation occurs in high-abundance protein regions leading to loss of measurement accuracy
Solution Approach 1:
The patent segments the illumination field into multiple regions with different intensity levels. High-abundance protein regions receive reduced illumination intensity to prevent saturation, while low-abundance protein regions receive full illumination intensity to maximize detection sensitivity. This spatial segmentation of illumination allows simultaneous accurate measurement across the full dynamic range of protein concentrations.
Solution Approach 2:
The patent applies local quality by making the illumination intensity non-uniform across the detection field. Each region of the sample receives illumination tailored to its specific protein abundance characteristics. This local optimization ensures that each pixel operates within its linear detection range, preventing both saturation in bright regions and insufficient signal in dim regions.
2Reliability
If shorter exposure times are used to avoid saturation in high-abundance protein regions, then measurement accuracy for high-abundance proteins is maintained, but detection sensitivity for low-abundance proteins deteriorates
Solution Approach 1:
The detection field is segmented into multiple illumination zones where high-abundance regions receive attenuated light intensity and low-abundance regions receive full light intensity. This segmentation allows each region to be exposed for optimal duration without saturation, effectively resolving the exposure time contradiction.
Solution Approach 2:
The patent dynamically changes the illumination intensity parameter across different spatial regions of the sample. By adjusting the light intensity parameter locally rather than using a uniform exposure time, the system maintains linearity in the detector response for all protein abundance levels simultaneously.
3Ease of operation
If uniform illumination intensity is applied across the entire sample, then the imaging system is simple to operate, but the dynamic range is limited to approximately 10,000-fold due to detector saturation
Solution Approach 1:
The patent introduces dynamic control of illumination intensity across the sample field. Rather than static uniform illumination, the system dynamically adjusts light intensity on a pixel-by-pixel or region-by-region basis to match the local protein abundance. This dynamic adaptation extends the measurable dynamic range while maintaining operational simplicity through automated control.
Solution Approach 2:
The illumination intensity parameter is changed locally across different regions of the sample to prevent detector saturation. This parameter modification allows the system to measure protein concentrations spanning over 1,000,000-fold range, dramatically expanding the detectable quantity range compared to uniform illumination.
4Measurement precision
If the detector exposure time is increased to capture low-abundance proteins, then signal-to-noise ratio for low-abundance proteins is improved, but saturation of high-abundance protein signals occurs resulting in data loss
Solution Approach 1:
The patent segments the illumination to prevent information loss in high-abundance regions while maintaining sensitive detection in low-abundance regions. By reducing illumination intensity in bright regions, the system prevents saturation and preserves quantitative information that would otherwise be lost.
Solution Approach 2:
The system applies preliminary anti-action by pre-attenuating the illumination intensity in regions predicted to have high protein abundance. This preventive measure counteracts the saturation effect before it occurs, preserving the full dynamic range of signal intensities for accurate quantification.
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 system achieves a dynamic range of over 1,000,000-fold, enabling accurate detection of protein concentrations across the entire range, improving the detection of protein signals and reducing measurement errors in 2DE gels.
Implementation Method 1
fluorescently labeled proteins in gel separated by 2D gel electrophoresis (2DE)
Data Source
AI summary
The present disclosure provides systems and methods for the measurement of signal intensity across a large dynamic range. The systems disclosed herein employ an iterative image collection strategy that utilizes structured illumination to achieve greater than 1,000,000-fold dynamic range measurements, representing a dramatic improvement over the prior art.