Multi-view Optical Imaging for 3D Tissue Measurement
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Solution Overview
Problem
Accurate three-dimensional imaging of biological specimens, particularly tumors in living organisms, is hindered by tissue scattering and absorption, which limit the resolution and accuracy of optical imaging techniques.
Innovation Solution
The system employs multiple reflective surfaces to direct multiple views of a specimen to a detector, combined with sequential illumination and spectral analysis using fluorescence labels, to enhance data accuracy by separating autofluorescence and correcting for tissue thickness and absorption, allowing for precise depth estimation and mass measurement of internal entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical imaging techniques are used to capture images of biological specimens, then low cost and rapid measurements are achieved, but tissue scattering and absorption limit the accuracy and resolution of three-dimensional imaging
Solution Approach 1:
The patent transitions from single-view two-dimensional imaging to multi-view three-dimensional imaging by capturing images from multiple angles and combining them through light diffusion algorithms. This dimensional expansion allows the system to overcome tissue scattering and absorption effects that limit conventional single-view optical imaging, enabling accurate 3D reconstruction of internal structures despite the harmful effects of light interaction with turbid biological tissues.
Solution Approach 2:
The patent introduces light diffusion algorithms as an intermediary computational process that processes the spatial light distribution data collected from multiple views. These algorithms act as a mediator between the raw optical measurements and the final 3D image reconstruction, correcting for tissue scattering and absorption effects to produce accurate three-dimensional images of internal structures.
2Measurement precision
If multiple views of the specimen are captured to improve measurement accuracy, then higher accuracy and sensitivity are achieved, but device complexity increases
Solution Approach 1:
The patent divides the imaging task into multiple segments by capturing light distribution from several different views or angles separately. Each view captures a portion of the spatial light distribution information, and these segmented measurements are then combined through light diffusion algorithms to reconstruct the complete three-dimensional image. This segmentation approach improves measurement accuracy while managing system complexity by breaking down the challenging 3D imaging problem into manageable 2D view components.
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 improves the accuracy and resolution of three-dimensional imaging by effectively addressing tissue scattering and absorption, enabling precise depth estimation and mass measurement of internal entities within biological specimens.
Implementation Method 1
an optical component having multiple reflective surfaces, the optical component positioned and oriented with respect to the extended luminescing specimen so as to direct multiple side views of the extended luminescing specimen to the detector system
Implementation Method 2
sequential illumination and spectral analysis using fluorescence labels
Data Source
AI summary
Disclosed are methods and systems for: (i) sequentially illuminating a specimen with different spatial distributions of light, wherein each illumination causes an object embedded in the specimen to emit radiation in response to the light; (ii) for each different spatial distribution of illumination light, imaging the radiation emitted from the specimen from each of multiple sides of the specimen; and (iii) determining information about the object in the specimen based on the imaged radiation from each of the multiple sides for each of the different spatial distributions of illumination light.