A Cell Viability Evaluation Method Based on Respiratory Thermodynamic Feature Detected by Microscopic Infrared Thermal Imaging Sensor
| Autor: | Ning Yang, Qian Shi, Paul Oppong Kwabena, Rongbiao Zhang, Ikram Ullah, Mingji Wei, Ekaterina Kulik, Hanping Mao, Xuejing Zhu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
010401 analytical chemistry Cell 01 natural sciences 0104 chemical sciences chemistry.chemical_compound medicine.anatomical_structure chemistry Feature (computer vision) Evaluation methods Infrared thermal imaging medicine Omethoate Viability assay Electrical and Electronic Engineering Respiratory system Image sensor Instrumentation Biomedical engineering |
| Zdroj: | IEEE Sensors Journal. 20:637-647 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2019.2946033 |
| Popis: | Cell viability is an important indicator while screening drugs. An inaccurate evaluation of cell viability can cause large errors in anti-tumor dose experiments, and this becomes very unfavorable for cancer treatment. Generally, cell viability refers to the ratio of the number of live cells to the total number of cells. However, this evaluation method does not consider the effects of differences in metabolic abilities between different living cells. In this paper, there is a new cell viability evaluation method based on respiratory thermodynamic feature that includes the respiratory intensity, proliferation rate, and heat released by cells. These three parameters can be directly measured by a microscopic infrared thermal imaging sensor, which is fast and non-invasive and does not require consumables. The three parameters were simultaneously measured based on a micro-infrared thermal imaging sensor and fitted to the mathematical model. Finally, the method was verified by comparing it with traditional c ounting method and comparing the amount of omethoate with traditional counting method. The results indicated that omethoate is 12.36% lower than in the traditional counting method with the same level of complete cell inactivation. Therefore, this method is more accurate than the conventional cell viability assessment method, and the dosage is more precise when the uniform effect is achieved, which provides a basis for precise doses in tumor treatment and can reduce side effects in the human body. This method has a significant effect on the manufacture of cell activity detecting sensors. |
| Databáze: | OpenAIRE |
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