Cell Analyzer Malignancy Grading via Fluorescence Histograms
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Solution Overview
Problem
Current pathological diagnosis methods for cancer cells require skilled technicians and are time-consuming, leading to variability in results and a need for automated, objective, and rapid analysis of tumor tissues.
Innovation Solution
A cell analyzer system using a flow cytometer to measure nuclear-stained cells, generating a histogram of fluorescence intensity, and determining malignancy grade based on the number of strong-area cells and their ratio to total cells, with optional correction using weak-area cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual pathological diagnosis is performed by skilled technicians, then diagnosis accuracy can be maintained, but the process is time-consuming and produces variability in results
Solution Approach 1:
The patent replaces manual mechanical pathological examination with an automated flow cytometry system that uses optical detection and computerized analysis. The flow cytometer measures fluorescence intensity of nuclear-stained cells automatically, eliminating the need for manual microscopic examination while maintaining or improving diagnostic accuracy through objective quantitative measurement.
Solution Approach 2:
The system enables self-service diagnosis through automated cell analysis. The flow cytometer automatically measures cell parameters, the computer generates histograms, and the system determines malignancy grades without requiring continuous human intervention. This automation reduces both time consumption and inter-observer variability while maintaining diagnostic accuracy.
2Productivity
If automated flow cytometry measurement is used, then analysis speed and objectivity improve, but the ability to perform rapid diagnosis during surgery is limited
Solution Approach 1:
The system performs preliminary preparation of cell suspensions from tissue samples before the actual flow cytometry measurement. By pre-processing tissues into cell suspensions that can be stored and transported, the system enables rapid diagnosis during surgery without requiring the entire analysis process to be completed in real-time at the surgical site.
3Reliability
If traditional pathological analysis methods are used, then comprehensive tissue analysis is possible, but skilled technique is required and results vary between technicians
Solution Approach 1:
The patent replaces subjective manual pathological assessment with objective automated flow cytometry measurement. The system quantifies cell parameters through fluorescence intensity measurement and uses computer-generated histograms to determine malignancy grades, eliminating inter-observer variability and reducing the need for highly skilled technicians while improving diagnosis consistency.
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 and accurate analysis of cancer malignancy grade, reducing variability and time constraints, with high precision and objectivity in diagnosing cancer cells.
Implementation Method 1
fluorescence is detected from a measurement specimen flowing through a flow cell by using the flow cytometry method
Data Source
AI summary
A cell analyzer includes: a measuring portion which measures cells that are nuclear stained; a displaying portion which displays a histogram of a fluorescence intensity by using a result of the measurement by the measuring portion; and a determining unit which obtains a number of strong-area cells that are distributed in an area where the fluorescence intensity is stronger than normal cells, and which determines a malignancy grade of cancer based on the number of strong-area cells and the histogram.