Fine Particle Analyzer Spectral Data Extraction
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Solution Overview
Problem
Conventional flow cytometers require complex and skilled techniques to separate discrete spectral data from multiple types of spectral data emitted from fine particles, making it difficult for users to analyze effectively.
Innovation Solution
A fine particle analyzing apparatus with a data extracting unit that selectively extracts spectral data indicating maximum intensity in predetermined wavelength ranges, and includes a display adjusting unit for easy visualization and sorting of spectral data, along with a polynomial approximation processing unit for data approximation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional flow cytometry methods are used to obtain multiple types of spectral data from fluorescence, then comprehensive spectral information is obtained, but separation into discrete spectral data requires complicated work and skillful techniques
Solution Approach 1:
The patent extracts only the necessary spectral data (maximum intensity values in predetermined wavelength ranges) from the complete spectral data set. The data extracting unit selectively retrieves specific wavelength range information without requiring users to manually separate all spectral components, thus achieving accurate spectral separation while simplifying operations.
Solution Approach 2:
The data extracting unit acts as an intermediary between the raw spectral data acquisition and the user's analysis needs. It automatically processes the complex spectral data separation task by identifying and extracting maximum intensity values from predetermined wavelength ranges, eliminating the need for users to perform complicated manual separation while maintaining measurement precision.
2Loss of information
If complete spectral data from multiple fluorochromes is collected, then comprehensive fluorescence information is obtained, but data processing and analysis become complex
Solution Approach 1:
The system extracts only the essential spectral information (maximum intensity values in predetermined wavelength ranges corresponding to each fluorochrome) from the complete spectral data. This selective extraction maintains the necessary fluorescence information for analysis while significantly reducing data processing complexity by eliminating redundant spectral components.
Solution Approach 2:
The spectral data is segmented into predetermined wavelength ranges, each corresponding to a specific fluorochrome. The data extracting unit processes each segment independently to identify maximum intensity values, thereby organizing the comprehensive spectral information into manageable, discrete segments that simplify subsequent analysis while preserving all necessary fluorescence data.
3Measurement precision
If manual separation of spectral data is performed by users, then discrete spectral data can be obtained, but it requires skillful techniques and increases operation time
Solution Approach 1:
The data extracting unit performs self-service by automatically identifying and extracting maximum intensity values from predetermined wavelength ranges without requiring user intervention. This automation maintains accurate spectral data extraction while eliminating the time-consuming manual separation process, allowing the system to handle spectral data processing independently and efficiently.
Solution Approach 2:
The system performs preliminary action by pre-defining wavelength ranges for each fluorochrome and automatically identifying maximum intensity values within those ranges before user analysis. This preliminary processing of spectral data eliminates the need for users to perform time-consuming manual separation while ensuring accurate extraction of discrete spectral information.
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 easy separation and visualization of multiple types of spectral data, improving analysis accuracy and usability by allowing selective extraction and display of desired spectral data, and facilitating sorting based on spectral characteristics.
Implementation Method 1
detects fluorescence or scattered light emitted from the respective fine particles
Implementation Method 2
converts light detected by a light detector into an electric signal for quantification
Data Source
AI summary
Provided are a fine particle analyzing apparatus, a fine particle analyzing method, a program, and a fine particle analyzing system, which are capable of easily separating a plurality of types of spectral data on fluorescence emitted from a fine particle.A data extracting unit included in the fine particle analyzing apparatus selectively extracts spectral data, which contain predetermined information, from spectral data on fluorescence emitted from a fine particle. The data extracting unit selectively extracts spectral data indicating the maximum intensity in a wavelength area set beforehand from one or a plurality of types of spectral data indicating intensity of fluorescence emitted from the fine particle for each of a plurality of wavelengths.