Computational Adaptive Optics for Interferometric Microscopy Aberration Correction
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Solution Overview
Problem
Existing methods for correcting aberrations in optical microscopy, particularly in interferometric tomographic techniques, are ineffective for scattering tissues and fail to provide spatially invariant focal-plane resolution at all depths, leading to reduced image quality and limited imaging depth.
Innovation Solution
The method involves illuminating a sample with a broadband source, acquiring an interference signal, and applying an optimization procedure to correct aberrations using a filter function derived from a detected aberrated point spread function relative to a desired system point spread function, applicable to both biological and non-biological imaging applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-NA optics are used to improve transverse resolution, then cellular resolution is achieved, but depth of field is significantly reduced
Solution Approach 1:
The patent applies interferometric synthetic aperture microscopy to extend imaging capability into the depth dimension. By combining optical coherence tomography with computational algorithms, the system achieves high transverse resolution at all depths without mechanical scanning, effectively adding a computational dimension to the optical imaging process.
Solution Approach 2:
The patent replaces mechanical scanning methods with computational algorithms. Instead of physically scanning through different focal planes, the system uses inverse scattering algorithms and iterative optimization to computationally reconstruct images at all depths, substituting mechanical movement with computational processing.
2Length of moving object
If multiple tomograms are combined to extend depth of field, then imaging depth is improved, but acquisition time and mechanical scanning complexity increase
Solution Approach 1:
The patent performs preliminary computational preparation by calculating the point spread function and its aberration-corrected version before image reconstruction. This pre-computed information is then applied to correct aberrations in real-time during the imaging process, avoiding the need for time-consuming mechanical scanning and multiple acquisitions.
Solution Approach 2:
The patent substitutes mechanical scanning with computational algorithms. The system uses iterative optimization algorithms and convolution operations to reconstruct images at all depths simultaneously, eliminating the need for mechanical scanning while reducing acquisition time.
3Measurement precision
If adaptive optics methods are applied to correct aberrations, then image contrast and resolution are improved, but the methods are limited to intensity imaging and cannot simultaneously correct for all imaging depths
Solution Approach 1:
The patent creates a universal aberration correction method that works across all imaging depths and tissue types. By computing the point spread function and its aberration-corrected version for each depth plane, the system achieves adaptive optics correction for intensity, phase, and spectral information simultaneously, making it universally applicable to various imaging depths and sample types.
Solution Approach 2:
The patent dynamically adjusts imaging parameters for each depth plane by computing depth-specific point spread functions and aberration correction filters. This allows the system to optimize resolution and contrast at each depth independently, adapting the correction parameters to match the specific optical conditions at different imaging depths.
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 enables spatially invariant resolution at all depths and improves image quality by correcting aberrations in 3D reconstructions, enhancing the signal-to-noise ratio and depth-dependent signal uniformity, particularly in high-NA OCT imaging.
Implementation Method 1
acquiring an interference signal between light scattered from the sample and a reference beam derived from the broadband source
Data Source
AI summary
Methods for correcting for aberrations in the image or three-dimensional reconstruction of a sampled region obtained by broadband interferometry. The sampled region is illuminated with a broadband beam of light, and light returned from the sample is detected, along with a reference beam, in order to derive an interference signal for pixels of a volume spanned by wavenumber and axes transverse to the beam propagation direction. An optimization procedure is performed with respect to a specified criterion so as to obtain an aberration-corrected image of at least one plane of the sampled region, either in a plane-specific manner or in a space-invariant manner throughout the sampled region. A filter function, which may be derived from the interference signal attendant to irradiating a sparsely distributed plurality of point scatterers, or otherwise, corrects for a detected aberrated point spread function. Methods of the present invention may be used for aberration correction in reading information from an optical data storage medium.