Automated Cell Counting Method with Phase Contrast Image in a Droplet
2023
Kim, J.G. | Lee, C.S.
Bacterial counting methods are critical issue in fundamental biology and biotechnology because quantitatively precise analysis of bacteria is able to investigate their characteristics. However, conventional manual-based counting methods including plate counting, hemocytometry, and turbidimetry, are limited in labor intensive, time-consuming, relatively expensive way. In addition, they are difficult to be applied in large-scale or high through put applications. Here, we present efficient automatic approach using phase contrast image analysis-based bacterial counting. In this study, we have investigated the advance in digital image analysis and applied this phase contrast image-based analysis to screen the increment of non-fluorescence cells in microfluidic droplet system. In addition, we were able to analyze time-lapse images in stack and track cells automatically. In conclusion, this study provides new ideas for the development of microorganism counting and systematic suggestions for implementing integrated microorganism counting method with microfluidic system. We envision that this simple analysis method can be used to the development of cell counting analysis using non fluorescence pathogen or clinical sample in droplet system.
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