Multi-Layered Cell Mass Quality Evaluation Using Spectral Light Variation
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Solution Overview
Problem
Existing methods for evaluating the quality of multi-layered cell masses, such as those formed by cell aggregation, are inadequate for rapid assessment and do not account for the state of the cell mass on the spot, making it difficult to determine the quality of cell masses that have already formed in multiple layers.
Innovation Solution
A quality evaluation method that utilizes light intensity information from a wavelength of 300 nm to 2,000 nm to generate feature amounts reflecting variations, changes, and non-uniformities in light intensity across the cell mass, allowing for the evaluation of cell mass quality based on the state of the cell mass without regard to its formation mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time-series images are acquired and evaluated to confirm the state of multi-layered cell masses, then the quality assessment can capture dynamic changes, but the evaluation process becomes time-consuming and cannot provide rapid assessment
Solution Approach 1:
The patent extracts only the necessary light intensity information at specific wavelengths (300-2000 nm) from the complete time-series imaging process. By measuring light intensity variations at key wavelengths that correspond to cellular components, the system obtains sufficient quality assessment data without requiring continuous time-series image acquisition, thus reducing evaluation time while maintaining assessment accuracy.
Solution Approach 2:
The patent changes the measurement parameter from comprehensive time-series image analysis to targeted light intensity measurement at specific wavelengths (300-2000 nm). This parameter change allows rapid assessment by focusing on spectral characteristics that directly reflect cell mass quality, avoiding the time-consuming nature of full temporal imaging sequences.
2Reliability
If conventional evaluation methods are used for cell masses, then the assessment can be performed, but it does not account for the state of the cell mass on the spot and cannot determine quality of already-formed multi-layered structures
Solution Approach 1:
The patent creates a universal evaluation method based on light intensity measurement at wavelengths of 300-2000 nm that can assess cell mass quality regardless of formation mechanism (aggregation vs. multi-layered). This single measurement approach adapts to different cell mass states and structures, providing reliable quality assessment across diverse scenarios without requiring method modification.
3Measurement precision
If comprehensive light intensity information is measured across multiple wavelengths, then the feature amount can reflect relationships between adjacent and distant cells, but the measurement complexity increases
Solution Approach 1:
The patent segments the broad spectrum into specific wavelength ranges (300-2000 nm) that correspond to different cellular components and light interaction mechanisms. By dividing the measurement into these targeted spectral segments rather than attempting to measure all wavelengths simultaneously, the system achieves comprehensive cellular information with manageable measurement complexity.
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
Enables the rapid and accurate assessment of cell mass quality by capturing the relationships between cells, including adjacent and distant positions, and the distribution of light intensity, thereby providing a reliable index for evaluating cell mass activity and functionality.
Implementation Method 1
emitting measurement light having a wavelength of 300 nm or more and 2,000 nm or less to a cell mass and acquiring a plurality of light intensity information corresponding to each of a plurality of measuring positions in the cell mass
Data Source
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AI summary
A method for quality evaluation includes emitting measurement light having a wavelength of 300 nm or more and 2,000 nm or less to a cell mass and acquiring a plurality of light intensity information corresponding to each of a plurality of measuring positions in the cell mass, generating a feature amount from a variation of the acquired plurality of light intensity information, and evaluating quality of the cell mass using the generated feature amount as an index.