Intravital Imaging Stabilization via Implantable Windows
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Solution Overview
Problem
Current imaging technologies face challenges in achieving high-resolution, long-term visualization of internal organs like the lung, particularly due to their inaccessibility and constant motion, which limits the ability to study early disease stages and cause-effect relationships during tumor progression.
Innovation Solution
The development of a method and apparatus for stabilizing tissues using implantable imaging windows and microcartography, allowing for repeated high-resolution optical imaging over days to weeks, enabling chronic long-term optical imaging of internal organs with 0.25 μm resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If vacuum immobilization is used to stabilize lung tissue for imaging, then tissue stability is improved, but tissue artifacts and compression of blood vessels occur
Solution Approach 1:
The patent removes the harmful vacuum immobilization step from the imaging process. Instead of using vacuum to stabilize tissue, the invention uses a specialized imaging chamber that accommodates moving tissue without requiring immobilization, thereby extracting the harmful stabilization method while preserving image quality through computational techniques.
Solution Approach 2:
The patent replaces the mechanical vacuum immobilization system with a computational image processing system. Rather than mechanically stabilizing tissue through vacuum pressure, the invention uses software algorithms to correct motion artifacts post-acquisition, substituting a mechanical stabilization approach with an information-processing approach.
2Illumination intensity
If high-magnification objective lenses are used for multiphoton imaging, then signal brightness is improved, but field of view is limited
Solution Approach 1:
The patent divides the large field of view into multiple smaller high-magnification image tiles that are acquired sequentially. Each tile captures a small region with high signal brightness, and these tiles are then computationally stitched together to form a complete large-area image, effectively segmenting the imaging process to overcome the field of view limitation.
Solution Approach 2:
The patent adds the time dimension to the imaging process by acquiring multiple high-magnification images sequentially rather than simultaneously. This temporal sequencing allows the system to capture a large spatial area while maintaining high magnification and signal brightness in each individual frame, then combines them into a comprehensive view.
3Area of stationary object
If serial acquisition and mosaicking of high-resolution images is performed, then large area coverage is improved, but image distortions from tissue movement occur
Solution Approach 1:
The patent incorporates feedback mechanisms through computational image processing algorithms that detect and correct motion-induced distortions in the acquired image tiles. The system analyzes the captured images, identifies misalignments caused by tissue movement, and applies corrective transformations to restore proper spatial relationships between adjacent tiles.
Solution Approach 2:
The patent changes the processing parameters of the acquired images through computational methods. Rather than requiring perfect stability during acquisition, the system applies digital transformations to the image data post-acquisition, adjusting for motion artifacts and reconstructing accurate spatial relationships between image tiles.
Data Source
AI summary
Methods and apparatus are provided for high resolution intravital imaging and for chronic optical imaging of tissues such as lung.