Spectral Unmixing for Flow Cytometry Data Compression
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Solution Overview
Problem
The use of spectral flow cytometers generates large amounts of data that need to be transferred from local environments to cloud environments for analysis, leading to increased data transfer times, communication bandwidth requirements, and storage costs.
Innovation Solution
The system compresses fluorescence spectrum data using reference data for each fluorescent dye, allowing only the compressed data and reference data to be transferred, with the cloud environment performing inverse transformation to restore the original data for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fluorescence spectrum data is transferred from local environment to cloud environment for analysis, then analysis capability and data sharing are improved, but data transfer time and communication bandwidth requirements increase
Solution Approach 1:
The patent extracts only the essential information from the original fluorescence spectrum data by performing spectral unmixing locally to obtain fluorescent dye concentration data. This extracted data is then transferred to the cloud environment for analysis, significantly reducing the amount of data that needs to be transmitted while preserving the essential analytical information.
Solution Approach 2:
The patent performs spectral unmixing and data compression as preliminary actions in the local environment before transferring data to the cloud. By preprocessing the data locally to reduce its size and extract key information, the system minimizes the data transfer burden while maintaining analysis capability in the cloud.
2Adaptability or versatility
If fluorescence spectrum data is stored in cloud environment for analysis, then data sharing and analysis capability are improved, but storage cost increases
Solution Approach 1:
The patent extracts only the essential information from the original fluorescence spectrum data by performing spectral unmixing locally to obtain fluorescent dye concentration data. This extracted data is then transferred to the cloud environment for analysis, significantly reducing the amount of data that needs to be transmitted while preserving the essential analytical information.
Solution Approach 2:
The patent performs spectral unmixing and data compression as preliminary actions in the local environment before transferring data to the cloud. By preprocessing the data locally to reduce its size and extract key information, the system minimizes the data transfer burden while maintaining analysis capability in the cloud.
3Productivity
If spectral unmixing is performed in local environment, then calculation resources are utilized efficiently, but data amount for cloud transfer increases
Solution Approach 1:
The patent extracts only the essential information from the original fluorescence spectrum data by performing spectral unmixing locally to obtain fluorescent dye concentration data. This extracted data is then transferred to the cloud environment for analysis, significantly reducing the amount of data that needs to be transmitted while preserving the essential analytical information.
Solution Approach 2:
The patent changes the parameter representation of the data by transforming the original fluorescence spectrum data into fluorescent dye concentration data through spectral unmixing. This parameter transformation reduces the data amount while maintaining the essential analytical information needed for further processing in the cloud environment.
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
This approach reduces the amount of data transferred and stored in the cloud, lowering data transfer times, communication bandwidth, and storage costs while maintaining sufficient data quality for analysis.
Implementation Method 1
a first processing unit configured to generate compressed data by irradiating a measurement target dyed with a plurality of fluorescent dyes with light and performing compression processing on measurement data measured by the irradiation, using reference data for each of the fluorescent dyes used for dyeing the measurement target
Implementation Method 2
a second processing unit configured to generate restored data by performing restoration processing using the reference data and the compressed data received from the first information processing apparatus
Implementation Method 3
The flow cytometer, which is a measurement apparatus using an analytical method called flow cytometry, irradiates particles such as cells flowing through a flow cell with light and detects fluorescence emitted from the particles
Data Source
AI summary
An information processing system and an information processing apparatus capable of reducing an amount of data to be transferred from a local environment to a cloud environment are provided. The information processing system according to the embodiment includes a first information processing apparatus (100) and a second information processing apparatus (200), the first information processing apparatus includes a first processing unit (103) configured to generate compressed data by irradiating a measurement target dyed with a plurality of fluorescent dyes with light and performing compression processing on measurement data measured by the irradiation, using reference data for each of the fluorescent dyes used for dyeing the measurement target; and a transmission unit (104) configured to transmit the compressed data to the second information processing apparatus, and the second information processing apparatus includes a second processing unit (203) configured to generate restored data by performing restoration processing using the reference data and the compressed data received from the first information processing apparatus.