3D Fluorescence Reconstruction Using Iterative Refractive Index Correction
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Solution Overview
Problem
Existing fluorescence reconstruction methods struggle with non-homogeneous refractive indices in biological samples, leading to inaccurate 3D fluorescence imaging, and the use of clarifying agents is invasive and disrupts sample integrity.
Innovation Solution
A non-invasive method for reconstructing the spatial distribution of fluorescence in a sample by iteratively assigning random phases and using light propagation algorithms to estimate complex amplitudes, accounting for incoherent fluorescence and refractive index variations, without the need for clarifying agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a clarifying agent is used to limit the influence of refractive index non-uniformity, then 3D fluorescence images can be obtained without refractive index non-uniformity artifacts, but the sample integrity is compromised and long-term monitoring is not possible
Solution Approach 1:
The patent introduces an optical phase conjugation process as an intermediary method to correct refractive index non-uniformity effects without physically altering the sample. The phase conjugation acts as a computational-optical mediator that reverses the distorting effects of refractive index variations, allowing accurate fluorescence imaging while preserving sample integrity for long-term monitoring
Solution Approach 2:
The patent changes the optical parameters (phase conjugation) to compensate for refractive index non-uniformity rather than changing the physical state of the sample. By applying phase conjugation to the fluorescence signal, the method corrects imaging artifacts while maintaining the sample in its native state, enabling both accurate measurement and long-term monitoring
2Device complexity
If traditional fluorescence reconstruction methods are used, then the imaging process is simple, but the results are inaccurate due to refractive index non-uniformity in biological samples
Solution Approach 1:
The patent inserts an optical phase conjugation step between fluorescence excitation and detection. This intermediary process corrects the wavefront distortions caused by refractive index non-uniformity, thereby improving localization accuracy without requiring complex sample preparation or invasive procedures
Solution Approach 2:
The patent employs an iterative phase conjugation process that uses feedback from the detected fluorescence signal to progressively correct refractive index artifacts. By repeatedly applying phase conjugation and refining the correction based on measured deviations, the method achieves high accuracy while maintaining a relatively simple overall imaging workflow
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
Enables accurate 3D fluorescence imaging in biological samples with non-uniform refractive indices, preserving sample integrity and allowing for long-term monitoring.
Implementation Method 1
the spatial distribution of the refractive index of the sample, which may not be uniform, especially when the sample is a real biological tissue
Implementation Method 2
Fluorescence imaging is a technique for locating fluorescent markers in a human or animal body
Data Source
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Figure 1B
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AI summary
The invention describes an iterative reconstruction method for obtaining a spatial fluorescence distribution within an object. The method involves acquiring fluorescence images in different planes at different depths within the object to form a three-dimensional acquired image. It comprises an iterative reconstruction algorithm, whereby, at each iteration, an initial fluorescence distribution or one resulting from a previous iteration is taken into account, and the fluorescence light wave propagating through the object is simulated to obtain a reconstruction of the acquired image. The acquired image, or a differential image corresponding to a comparison between the acquired image and the reconstructed image, is then back-propagated within the object to update the fluorescence distribution. Figure 5B.