AI Cell Analysis for Accurate Classification on Low-Power Analyzers
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Solution Overview
Problem
Existing cell classification systems, such as those described in Japanese Laid-open Patent Publication No. 2012-519848, rely on limited parameters and lack high information processing capability, leading to inaccuracies in cell classification.
Innovation Solution
A cell analysis method utilizing an artificial intelligence algorithm, specifically a deep learning algorithm, to analyze cell data obtained from a cell measuring apparatus, enabling accurate cell type classification without the need for high processing capability in the measuring apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing classification algorithms with limited parameters are used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
A server acts as an intermediary between the cell measuring apparatus and the user. The server receives measurement data from the apparatus, performs AI-based analysis with deep learning algorithms to classify cell types accurately, and transmits the analysis results back. This mediator approach allows complex AI processing without requiring the measuring apparatus itself to have high computational capabilities.
Solution Approach 2:
The patent replaces traditional mechanical/computational classification methods with AI-based deep learning algorithms. Instead of using conventional algorithms with limited parameters that require simple device architecture, the system employs neural networks and deep learning models that can achieve high classification accuracy by learning complex patterns from measurement data.
2Power
If AI algorithms are distributed across multiple analyzers, then processing capability is improved, but ease of manufacture deteriorates
Solution Approach 1:
The server is designed as a universal platform that can serve multiple cell measuring apparatuses simultaneously. Instead of embedding AI algorithms in each individual analyzer, a single server performs AI processing for numerous apparatuses, making the system more manufacturable and easier to deploy while maintaining high processing capability through centralized resources.
Data Source
AI summary
In a configuration for analyzing data of cells measured by a cell measuring apparatus, accuracy of cell classification is improved without requiring the cell measuring apparatus to have high information processing capability. A cell analysis method, using a cell analyzer for analyzing cells in accordance with an artificial intelligence algorithm, includes: obtaining the data regarding the cells measured by the cell measuring apparatus; analyzing the data to generate information regarding a cell type of each of the cells; and transmitting the information to the cell measuring apparatus.