3D Luminescence Imaging via Optimal Filter Pair Selection
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Solution Overview
Problem
Conventional 3D luminescence imaging techniques are time-consuming and low-throughput, requiring multiple optical filters and resulting in sub-optimal reconstructed sources, which limits the number of samples that can be imaged in a given time.
Innovation Solution
The method involves selecting an optimal pair of optical filters from a list based on weight determination, which reduces the number of filters needed for imaging, and uses a two-phase image reconstruction process to speed up data acquisition and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional processing methods using three or more optical filters are used, then measurement precision is maintained, but loss of time increases significantly (20-30 minutes per sample)
Solution Approach 1:
The patent extracts and identifies the most critical pair of optical filters from a larger set of available filters. By determining optimal weights for each filter pair and selecting only the highest-ranked pair, the method removes unnecessary filters and processing steps while retaining the essential information needed for accurate 3D luminescence reconstruction, thereby reducing acquisition time without sacrificing measurement precision
Solution Approach 2:
The patent performs preliminary calculations to determine optimal weights for all possible optical filter pairs before actual imaging. By pre-computing which filter pair will provide the best reconstruction quality for a given luminescent source and scattering medium configuration, the system avoids time-consuming trial-and-error approaches during data acquisition, enabling faster imaging while maintaining accuracy
2Manufacturing precision
If three or more optical filters are used for 3D luminescence imaging, then manufacturing precision of the imaging system is maintained, but device complexity increases
Solution Approach 1:
The patent extracts only the essential pair of optical filters needed for accurate 3D luminescence imaging by evaluating all possible filter pairs and selecting the one with the optimal weight. This reduction from three or more filters to a single optimal pair simplifies the imaging system's configuration and reduces device complexity while preserving the quality of reconstructed sources
Solution Approach 2:
The patent changes the selection criterion for optical filters from a fixed requirement of three or more filters to a dynamic selection based on computed weights. By adjusting the number of filters from a static minimum to an optimized single pair, the system reduces complexity while maintaining manufacturing precision through data-driven filter selection
3Measurement precision
If conventional processing methods are used, then measurement precision is achieved, but productivity decreases due to low throughput
Solution Approach 1:
The patent extracts and utilizes only the most informative pair of optical filters for each imaging task, eliminating redundant filters and associated processing steps. This streamlined approach enables faster data acquisition and processing, allowing significantly more samples to be imaged within a given time frame while maintaining reconstructed source accuracy through optimal filter pair selection
Solution Approach 2:
The patent performs preliminary weight determination for optical filter pairs before imaging, enabling rapid selection of the optimal filter configuration. This pre-computation approach eliminates time-consuming iterative adjustments during actual imaging, thereby increasing the number of samples that can be processed per unit time without compromising measurement precision
Data Source
AI summary
Systems, apparatuses, and methods are described for 3D luminescence imaging, by identifying a preferred optical pair and optimizing a scanned image using the preferred optical pair. An optimal filter pair may be selected from a list of two or more optical filters. An acceptable threshold of information may be obtained using a subset of the list of two or more optical filters (e.g., an optimal filter pair). An imaging device may be configured with the optimal filter pair to produce a pair of luminescence images of a target sample. In addition, luminescence images may be pre-processed to reduce the time-cost of conventional processing techniques of luminescence images. One or more computing devices may generate initial prior data based on a pair of luminescence images. An output may include one or more output luminescent sources that have been refined and/or optimized from the initial prior data.