文献类型：期刊文献

英文题名：An image analysis tool for cell migration assay with a large sample size

作者：Yin, Di[1]; Zhang, Hongbo[1]; Yang, Shih-Mo[2]; Yin, Ruixue[1,3]; Zhang, Wenjun[1,3]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China; [2] Biomedical Science and Technology Research Center, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China; [3] Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada

年份：2023

卷号：12566

外文期刊名：Proceedings of SPIE - The International Society for Optical Engineering

收录：EI(收录号：20232114124035)

语种：英文

外文关键词：Cells - Cytology - Efficiency - Image analysis - Image enhancement - Screening

摘要：Cell migration assay is the most common research approach for cell migration. Quantitative research and analysis are carried out by measuring the migration of cells into the region that is artificially created among confluent monolayer cells. To improve the efficiency and accuracy of the analysis, the software/tools were developed to assist the image analysis process. However, these software/tools are still at the stage of measuring a single sample, which can not satisfy the requirement of large sample size for cell migration assay device. In this paper, an image analysis tool based on Fiji is developed, which can segment multiple samples from a scanned image and then analyze a single sample in batch. In addition, the screening function should be added for the application scenario of large sample size. The samples can be filtered according to different conditions to improve the consistency of experimental conditions. The results show that the developed analysis tool ATCA has high accuracy in identifying cell-free zones, with a difference of 2.3% from the tool WHST and 2.9% from manual operation. The analysis efficiency of this tool is 15 times that of manual operation. ? 2023 SPIE.