Dynamic Spatial Alignment for Multi-Channel Flow Imaging Systems
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Solution Overview
Problem
Multi-channel imaging systems face challenges in accurately aligning images acquired from spatially distinct regions due to dynamic spatial offsets caused by errors in estimated object speed, which existing methods cannot correct, leading to degraded data quality.
Innovation Solution
A technique is developed to correct dynamic spatial misalignment by acquiring images from multiple regions, using predetermined offset data to align images, determining cross-region misalignment proportional to speed errors, and minimizing spectral crosstalk before alignment, allowing for precise spatial alignment across different imaging regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are acquired from spatially distinct imaging regions at different times, then the imaging system can capture data from multiple locations, but dynamic spatial offsets occur due to object motion and speed estimation errors
Solution Approach 1:
The patent applies preliminary action by acquiring reference images from both imaging regions before the actual measurement. These reference images are used to pre-determine spatial offset relationships and establish alignment parameters in advance, enabling accurate registration of subsequent images from both regions without requiring real-time complex calculations during the actual measurement process.
Solution Approach 2:
The patent uses reference images as intermediaries to bridge the spatial gap between two imaging regions. These reference images serve as a common reference frame that mediates the registration process, allowing accurate alignment of images from different regions by comparing them against the shared reference rather than directly aligning the regions themselves.
2Productivity
If spectral compensation is performed without proper spatial registration, then the compensation routine can be applied, but spectral crosstalk compensation cannot be accurately performed
Solution Approach 1:
The patent applies preliminary action by performing spatial registration and alignment of images from different imaging regions before applying spectral compensation. This preliminary spatial alignment ensures that corresponding spectral channels are properly registered, enabling accurate spectral crosstalk compensation to be performed subsequently without requiring real-time complex calculations during the spectral processing step.
3Measurement precision
If static spatial offset correction is applied, then instrument setup offsets can be corrected, but dynamic offsets caused by object speed variations cannot be corrected
Solution Approach 1:
The patent applies dynamics by transitioning from static spatial offset correction to dynamic correction that accounts for object motion. The system determines spatial offset relationships based on the actual positions of objects in reference images rather than assuming fixed instrument-only offsets. This allows the correction to adapt to varying object speeds and positions, making it applicable to dynamic scenarios where objects move between imaging regions.
Data Source
AI summary
A method to perform spatial alignment and spectral compensation for a multi-channel flow imaging system that acquires image data from a single imaging region is disclosed in U.S. Pat. No. 7,079,708. The spatial corrections disclosed therein are static, and do not vary unless the alignment of optical components in the imaging system or the specific detector are modified. However, when image data is acquired from two different imaging regions that are spaced apart along an axis of motion between the object being imaged and the imaging system, dynamic spatial offsets are induced between image data acquired from a first imaging region and image data acquired from a second, spaced apart imaging region. The dynamic spatial offsets are a function of an error in an estimated velocity of the object as it moves between the imaging regions, and may vary from object to object. Techniques for correcting dynamic spatial offsets are disclosed.