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Enhancing micropipette aspiration with artificial-intelligence analysis
Biophysical Journal ( IF 3.4 ) Pub Date : 2024-04-10 , DOI: 10.1016/j.bpj.2024.04.006
Aldo Abarca-Ortega , Blanca González-Bermúdez , Gustavo R. Plaza

The micropipette-aspiration technique is commonly used in the field of mechanobiology, offering a variety of measurement types. To extract biophysical parameters from the experiments, numerical analysis is required. Although previous works have developed techniques for the partial automation of these analyses, these approaches are relatively time consuming for the researchers. In this article, we describe the development and application of an artificial-intelligence tool for the completely automatic analysis of micropipette-aspiration experiments. The use of this tool is compared with previous methods and the impressive reduction in the time required for these analyses is discussed. The new tool opens new possibilities for the micropipette-aspiration technique by enabling dealing with large numbers of experiments and real-time measurements.

中文翻译:

通过人工智能分析增强微量移液器的抽吸能力

微量移液器抽吸技术常用于机械生物学领域,提供多种测量类型。为了从实验中提取生物物理参数,需要进行数值分析。尽管之前的工作已经开发了这些分析的部分自动化技术,但这些方法对于研究人员来说相对耗时。在本文中,我们描述了用于微移液器抽吸实验全自动分析的人工智能工具的开发和应用。将该工具的使用与以前的方法进行了比较,并讨论了这些分析所需时间的显着减少。该新工具能够处理大量实验和实时测量,为微量移液器抽吸技术开辟了新的可能性。
更新日期:2024-04-10
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