Sub-wavelength Imaging via Segmented Illumination and Cloud Stitching
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Solution Overview
Problem
Current microscopy technologies face limitations in achieving sub-wavelength resolution due to blurring and distortion caused by random divergent illumination without a focal point, and existing cloud computing for digital image analysis is restricted to local processing, while adaptive microscope slide staining and low inertia microscopes with automated axes are not well-developed.
Innovation Solution
The use of an array of light emitters less than 6 mm from a sensor array with divergent light impinging on multiple pixels, combined with cloud computing for image stitching and processing, adaptive inkjet staining, 2D piezo movement, and a low inertia digital microscope with automated x, y, and z axes, enables sub-wavelength image construction and clinical diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an array of light emitters is placed less than 6 mm from a sensor array with divergent light impinging on multiple pixels, then sub-wavelength image construction is achieved, but image blurring and distortion occur due to random divergent illumination without a focal point
Solution Approach 1:
The illumination source is segmented into an array of individual light emitters (LEDs or lasers) arranged in a grid pattern. Each emitter can be independently controlled and activated. This segmentation allows the system to illuminate the sample from multiple discrete angles and positions, enabling computational reconstruction of sub-wavelength resolution images by processing the pattern of light scattering through the sample from these segmented sources.
Solution Approach 2:
The system transitions from traditional single-point or single-plane illumination to multi-dimensional illumination by positioning an array of light emitters in close proximity (less than 6 mm) to the sensor array. This creates a three-dimensional illumination geometry where light impinges on the sample from multiple angles and depths, providing spatial frequency information that enables super-resolution imaging through computational processing.
2Productivity
If cloud computing is used for digital image analysis, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces cloud computing platforms as an intermediary between the microscopy system and the image processing algorithms. Raw images captured by the microscope are uploaded to cloud-based processing services where sophisticated image stitching, registration, and analysis algorithms are executed. This intermediary approach enables complex computational tasks to be performed remotely using powerful cloud infrastructure, returning processed results to the local system without requiring equivalent local computing resources.
3Measurement precision
If adaptive microscope slide staining is implemented, then diagnostic accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary digital analysis of the sample image before applying physical stains. By using the light emitter array to capture initial structural and scattering information, the system can pre-identify regions of interest, cell types, or pathological features. This preliminary action allows the adaptive staining process to target only specific areas that require enhancement, rather than staining the entire slide uniformly, thereby reducing overall processing time while maintaining or improving diagnostic accuracy.
Solution Approach 2:
Adaptive staining applies different staining conditions, durations, or chemical compositions to different regions of the microscope slide based on local image characteristics. The system analyzes the preliminary image to determine which areas require enhanced contrast or specific staining, then applies staining reagents selectively to those regions. This local quality approach optimizes diagnostic accuracy for each region while minimizing unnecessary processing time in areas that already have sufficient contrast.
4Speed
If a low inertia digital microscope with automated x, y, and z axes is used, then imaging speed is improved, but manufacturing complexity increases
Solution Approach 1:
The patent merges the illumination system, detection system, and stage positioning system into a single integrated microscopy platform. The array of light emitters is positioned in close proximity to the sensor array, and both are mounted on the same movable stage with automated x, y, and z axes. This merging eliminates the need for separate illumination and detection platforms, reducing overall system complexity despite the advanced automation features. The integrated design allows coordinated movement of all components as a unified system.
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 sub-wavelength image construction, improved resolution, and efficient clinical diagnostics by enabling precise illumination and staining, concurrent 2D movement, and low inertia imaging, facilitating implantation and advanced diagnostic capabilities.
Implementation Method 1
an array of light emitters less than 6 mm away from a sensor array. Divergent light from an emitter impinges upon more than one pixel in the sensor array
Implementation Method 2
2D piezo movement. Piezo elements are utilized in an array to concurrent move in 2 dimensions along any vector in that dimension
Implementation Method 3
An inkjet cartridge containing a diagnostic indicator is deposited, or a plurality of cartridges with assorted diagnostic indicators, on to the tissue or fluid
Data Source
AI summary
Home healthcare and other clinical solutions are embodied in a platform that diagnoses cancer and other disease states. Representing the lowest cost healthcare solution and a means to reduce healthcare cost; The platform combines imaging and diagnostic technologies with conventional inkjet technologies to provide a contextual diagnostic that will replace most clinical laboratories.