Super-resolution microscopy via stepwise optical saturation
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Solution Overview
Problem
Existing super-resolution microscopy techniques are limited by their requirement for thin and transparent samples, expensive implementations, and high excitation powers, lacking flexibility and efficiency.
Innovation Solution
The method employs Stepwise Optical Saturation (SOS) and its variants, such as Generalized Stepwise Optical Saturation (GSOS) and Deconvolution Stepwise Optical Saturation (DeSOS), which involve obtaining multiple fluorescence images at different irradiance values, applying weights based on these values, and linearly combining them to generate images with resolutions beyond the diffraction limit, utilizing a two-level fluorophore model and blind deconvolution to enhance signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing super-resolution microscopy techniques are used, then resolution beyond diffraction limit is achieved, but sample type flexibility is reduced and implementation cost increases
Solution Approach 1:
The patent changes the excitation parameter from high intensity (conventional super-resolution) to low intensity in the weak saturation region, enabling the technique to work with diverse sample types including thick and scattering samples that are incompatible with high-power methods
2Measurement precision
If existing super-resolution microscopy techniques are used, then resolution beyond diffraction limit is achieved, but implementation complexity and cost increase
Solution Approach 1:
The patent replaces expensive and complex super-resolution hardware with a simple linear combination algorithm that can be implemented on standard computing devices, dramatically reducing implementation cost and complexity while maintaining super-resolution capability
Solution Approach 2:
The patent substitutes complex optical hardware systems with a computational approach, replacing mechanical/optical complexity with simple mathematical operations (linear combination of images) that can be performed software-based
3Measurement precision
If existing super-resolution microscopy techniques are used, then resolution beyond diffraction limit is achieved, but excitation power requirements increase
Solution Approach 1:
The patent fundamentally changes the excitation power parameter from high intensity to low intensity operation in the weak saturation region, reducing energy consumption while achieving super-resolution through temporal sequencing and linear combination of multiple low-power images
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
This approach allows for super-resolution imaging with greater flexibility in sample types, simpler and less expensive setups, and lower excitation powers, achieving improved spatial resolution and signal quality by eliminating lower spatial frequency components and adapting to heterogeneous sample environments.
Implementation Method 1
obtaining a plurality of raw fluorescence images, respective ones of the plurality of raw fluorescence images obtained by exciting a sample using a light source at a respective irradiance value in a weak saturation region of the sample
Data Source
AI summary
A microscopy method and system includes obtaining a plurality of raw fluorescence images, respective ones of the plurality of raw fluorescence images obtained by exciting a sample using a light source at a respective irradiance value in a weak saturation region of the sample, and capturing the respective raw fluorescence image; applying a plurality of weights to the plurality of raw fluorescence images in a one-to-one correspondence so as to generate a plurality of weighted fluorescence images, wherein a respective weight is based on the respective irradiance value at which the corresponding raw fluorescence image was obtained; and linearly combining the plurality of weighted fluorescence images, thereby generating the output image having a resolution greater than a diffraction limit. Respective raw fluorescence images correspond to irradiance values different from one another.