Particle Population Display Scaling for Linear-Log Optical Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing particle analysis techniques, such as flow cytometry, require time-consuming manual adjustments and fail to appropriately display certain data populations due to fixed lower limit values, leading to incomplete data representation.
Innovation Solution
An information processing apparatus that calculates display parameters for optical data using a linear and logarithmic axis, with adjustable first and second parameters based on different reference values, allowing for optimized display ranges and improved visualization of particle populations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed lower limit values are used in display ranges, then device complexity is reduced, but measurement precision deteriorates due to incomplete data representation
Solution Approach 1:
The system automatically calculates optimal display parameters (first parameter for linear axis range, second parameter for logarithmic axis lower limit) based on the actual optical data distribution. This self-adjusting mechanism eliminates the need for manual parameter setting while ensuring complete and accurate representation of all particle populations, including those with small values that would be missed with fixed parameters.
2Measurement precision
If manual parameter adjustment is performed, then measurement precision is improved, but productivity deteriorates due to time-consuming operations
Solution Approach 1:
The patent replaces manual mechanical adjustment of display parameters with an automated information processing system that calculates optimal parameters based on data distribution. This substitution eliminates time-consuming manual operations while maintaining or improving visualization accuracy, thereby increasing analysis throughput and productivity.
3Ease of operation
If fixed display ranges are used, then ease of operation is improved, but loss of information increases due to undetected particle populations
Solution Approach 1:
The system transitions from static fixed display ranges to dynamic adaptive ranges that automatically adjust based on the actual distribution of optical data. The first parameter (linear axis range) and second parameter (logarithmic axis lower limit) are dynamically calculated to encompass all particle populations, ensuring complete information representation while maintaining operational simplicity through automation.
Data Source
AI summary
The present technology is to provide technology for appropriately visualizing a population of particles in particle analysis technology.There is provided an information processing apparatus including an information processing unit that receives optical data obtained from particles, and calculates a parameter that specifies a display method of the optical data in a display range having at least one axis including a linear axis and a logarithmic axis on the basis of the received optical data, in which the parameter includes a first parameter that specifies a range of the linear axis and a second parameter that specifies a lower limit value of the display range, and the first parameter and the second parameter are calculated on the basis of different reference values.


