Multi-Aperture Microscope for High-Resolution Multi-Organism Tracking
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Solution Overview
Problem
Current microscope technologies face challenges in simultaneously tracking multiple small model organisms at high resolution over a large area without constraining their movement, due to the tradeoff between field-of-view and optical resolution, and existing mechanical tracking systems can only track one organism at a time.
Innovation Solution
The Multi-Aperture Microscope (MCAM) system uses an array of micro-cameras to capture high-resolution images over a large field-of-view, processing and compressing data in real-time to track multiple organisms independently across a large area without moving parts, enabling 3D tracking through photogrammetry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large field of view is captured by a lens, then organisms can move freely within an arena, but optical resolution is reduced
Solution Approach 1:
The patent divides the imaging system into multiple micro-cameras arranged in an array, where each camera captures a smaller portion of the overall field of view at high resolution. The individual images are then computationally stitched together to form a composite high-resolution image of the entire large field of view, thereby resolving the contradiction between large FOV and high resolution
Solution Approach 2:
The patent transitions from a single 2D imaging plane to a multi-dimensional array of cameras, adding spatial distribution as an additional dimension. This allows the system to capture multiple high-resolution views simultaneously across a large field of view, overcoming the traditional tradeoff
2Measurement precision
If standard microscope resolution is used, then high resolution imaging is achieved, but only one organism can be tracked at a time
Solution Approach 1:
The patent segments the monitoring task across multiple independent micro-cameras, allowing simultaneous tracking of multiple organisms in different regions of the field of view. Each camera maintains high resolution while the collective system tracks multiple organisms concurrently, resolving the contradiction between resolution and multi-organism tracking capability
Solution Approach 2:
The patent creates a universal imaging system where each micro-camera serves multiple purposes: capturing high-resolution images of individual organisms, tracking multiple organisms simultaneously, and providing data for both individual and群体 behavior analysis, thereby increasing productivity without sacrificing resolution
3Speed
If mechanical tracking systems are used to follow organism movement, then real-time tracking is achieved, but the system can only track one organism at a time
Solution Approach 1:
The patent replaces mechanical tracking systems with a computational approach using multiple fixed micro-cameras. Image processing algorithms automatically identify and track organism positions across camera views, enabling simultaneous tracking of multiple organisms at high speed without mechanical movement, resolving the contradiction between tracking speed and multi-organism capability
Solution Approach 2:
The patent uses multiple cameras to create redundant visual copies of the experimental arena from different positions. This allows the system to track multiple organisms simultaneously by processing parallel image streams, achieving both high tracking speed and multi-organism productivity
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 solution allows for real-time high-resolution imaging and tracking of multiple organisms, expanding the field of view without sacrificing resolution, and enabling detailed analysis of their behavior and morphological changes, overcoming the limitations of existing technologies.
Implementation Method 1
an array of micro-cameras to capture high-resolution images over a large field-of-view
Implementation Method 2
capture high-resolution images over a large field-of-view
Implementation Method 3
enabling 3D tracking through photogrammetry
Data Source
AI summary
A microscopy includes multiple cameras working together to capture image data of a sample having a group of organisms distributed over a wide area, under the influence of an excitation instrument. A first processor is coupled to each camera to process the image data captured by the camera. Outputs from the multiple first processors are aggregated and streamed serially to a second processor for tracking the organisms. The presence of the multiple cameras capturing images from the sample, configured with 50% or more overlap, can allow 3D tracking of the organisms through photogrammetry.