Biological Particle Sorting With Adjustable Purity, Yield, and Flow
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Solution Overview
Problem
Existing biological particle sorting devices lack the ability to adjust sorting conditions to meet the specific needs of users, such as maximizing particle recovery, purity, or adjusting the sorting rate per unit time.
Innovation Solution
A biological particle sorting device that allows users to select from multiple sorting modes, including purity, yield, and parameter adjustable modes, enabling adjustment of sorting conditions based on user-input parameters like purity, yield, and flow amount, and utilizes approximation processing to optimize sorting success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the sorting process prioritizes recovering as many sorting target particles as possible, then the yield increases, but the purity decreases
Solution Approach 1:
The device enables dynamic adjustment of sorting conditions by allowing users to select from multiple sorting modes (purity mode, yield mode, parameter adjustable mode) and adjust parameters in real-time. The sorting control unit dynamically modifies sorting conditions based on user inputs and detected optical information to balance yield and purity according to specific experimental needs
Solution Approach 2:
The system changes physical or operational parameters of the sorting process by adjusting detection thresholds, sorting criteria, and flow conditions. Users can modify parameters such as detection frequency, flow amount, and sorting criteria to achieve different balances between yield and purity based on their specific requirements
2Manufacturing precision
If the sorting process prioritizes achieving high purity, then the purity of sorting target particles increases, but the yield decreases
Solution Approach 1:
The device enables dynamic adjustment of sorting conditions by allowing users to select from multiple sorting modes (purity mode, yield mode, parameter adjustable mode) and adjust parameters in real-time. The sorting control unit dynamically modifies sorting conditions based on user inputs and detected optical information to balance yield and purity according to specific experimental needs
Solution Approach 2:
The system changes physical or operational parameters of the sorting process by adjusting detection thresholds, sorting criteria, and flow conditions. Users can modify parameters such as detection frequency, flow amount, and sorting criteria to achieve different balances between yield and purity based on their specific requirements
3Productivity
If the detection frequency of biological particles is increased, then the sorting speed per unit time increases, but the time needed for sorting process decreases
Solution Approach 1:
The device enables dynamic adjustment of sorting conditions by allowing users to select from multiple sorting modes (purity mode, yield mode, parameter adjustable mode) and adjust parameters in real-time. The sorting control unit dynamically modifies sorting conditions based on user inputs and detected optical information to balance yield and purity according to specific experimental needs
Solution Approach 2:
The system changes physical or operational parameters of the sorting process by adjusting detection thresholds, sorting criteria, and flow conditions. Users can modify parameters such as detection frequency, flow amount, and sorting criteria to achieve different balances between yield and purity based on their specific requirements
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 device to achieve desired sorting results by adjusting parameters to meet user-specific needs, ensuring high purity or yield, and optimizing the sorting process efficiency.
Implementation Method 1
a particle population such as cells, microorganisms, and liposomes is labeled with a fluorescent dye, and the intensity and/or pattern of fluorescence generated from the fluorescent dye excited by irradiating each particle of the particle population with laser light is measured
Implementation Method 2
detects fluorescence and/or scattered light emitted from each particle
Implementation Method 3
The flow cytometer can convert light detected by the photodetector into an electrical signal
Data Source
AI summary
An object of the present disclosure is to provide a biological particle sorting device capable of adjusting a sorting condition so as to obtain a sorting result desired by a user.The present disclosure provides a biological particle sorting device including a sorting unit that sorts a sorting target particle on the basis of light generated by irradiating a biological particle flowing through a flow channel with light, in which the biological particle sorting device is configured to execute a sorting process on the basis of a sorting condition of a sorting target particle and a sorting mode selected from among a plurality of sorting modes, and the plurality of sorting modes includes at least a parameter adjustable mode in which a sorting process is executed on the basis of a target sorting parameter input by a user.