研究目的
To improve the accuracy and stability of cell viability assessment by proposing a new method based on respiratory thermodynamic feature.
研究成果
The method based on respiratory thermodynamic feature provides a more accurate assessment of cell viability and can reduce the dosage of drugs, minimizing side effects on the human body. It offers a basis for precise doses in tumor treatment and the manufacture of cell activity detecting sensors.
研究不足
The method requires further study with cancer cells and improvements in the algorithm for detecting the fermentation rate of yeast.
1:Experimental Design and Method Selection:
The study involves measuring cell proliferation rate, cell temperature changes, and cellular respiration intensity using a microscopic infrared thermal imaging sensor.
2:Sample Selection and Data Sources:
Yeast is selected as the experimental subject due to its simplicity and rapid growth.
3:List of Experimental Equipment and Materials:
A microscopic infrared thermal imaging sensor from LEADERWE (Shenzhen, China) is used.
4:Experimental Procedures and Operational Workflow:
Yeast solution is prepared and observed under the sensor to measure temperature changes and proliferation rate.
5:Data Analysis Methods:
MATLAB and OriginPro2018 are used for data processing and fitting the mathematical model.
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