Fluorescence Signal Differencing for Flow Cytometry Data Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increase in data dimensions due to multi-coloring of fluorescence signals in spectral-type flow cytometers results in significant data transfer times and storage costs when analyzing samples in a cloud environment, as large amounts of data need to be transferred and stored.
Innovation Solution
An information processing system that generates differential data based on similarities among fluorescence signals, reducing data dimensions by calculating differences between similar signals, and using reversible compression methods such as lexicographic compression, entropy coding, and statistical prediction to compress data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-coloring of fluorescence signal is used to enable detailed analysis, then measurement precision is improved, but data amount increases significantly
Solution Approach 1:
The patent extracts only the essential information from the high-dimensional fluorescence data by performing spectral unmixing to separate individual fluorescent dye signals from the mixed spectrum, and then selecting only the necessary wavelength regions and data points for analysis, thereby reducing data amount while preserving measurement precision
Solution Approach 2:
The patent segments the continuous spectral data into discrete wavelength regions of interest and divides the fluorescence signal into separate components corresponding to individual fluorescent dyes through spectral unmixing, enabling selective processing and transmission of only the necessary data segments
2Adaptability or versatility
If all measurement data is transferred to cloud environment for analysis, then analysis capability is improved, but data transfer time increases
Solution Approach 1:
The patent performs preliminary data processing including spectral unmixing, wavelength region selection, and data compression locally at the flow cytometer before cloud transfer, so that only essential and pre-processed data needs to be transmitted to the cloud environment, significantly reducing transfer time while maintaining analysis capability
Solution Approach 2:
The patent transforms the high-dimensional spectral data into a lower-dimensional representation by selecting specific wavelength regions and extracting key features, effectively changing the data dimensionality to reduce the volume of data requiring cloud transfer while preserving the essential information for analysis
3Ease of operation
If high-dimensional fluorescence data is stored in cloud environment, then data accessibility is improved, but storage cost increases
Solution Approach 1:
The patent extracts and transmits only the essential processed data (unmixed spectral components, selected wavelength regions, and key measurement parameters) to the cloud environment, leaving the raw high-dimensional data at the local device, thereby significantly reducing cloud storage requirements while maintaining data accessibility for analysis
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 significantly reduces data transfer times and storage costs by compressing data while maintaining the ability to restore original data, thereby addressing the challenges of high-dimensional data handling in cloud-based analysis.
Implementation Method 1
a measurement unit that measures fluorescence generated by irradiation of the sample with the excitation light
Data Source
AI summary
To reduce a data amount. An information processing system according to an embodiment includes an excitation light source (100) that irradiates a respective plurality of samples belonging to a sample group with excitation light, a measurement unit (142) that measures fluorescence generated by irradiation of the samples with the excitation light, and an information processing unit (2) that generates differential data based on a difference between similar fluorescence signals among fluorescence signals based on the fluorescence measured for the respective samples.