Departamento de Ingeniería Mecánica, Universidad de Santiago de Chile, USACH, Santiago de Chile, Chile; Departamento de Ciencia de Materiales, ETSI de Caminos, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alracón, Spain.
Departamento de Ciencia de Materiales, ETSI de Caminos, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alracón, Spain; Instituto de Investigación Sanitaria Hospital Clínico San Carlos, IdISSC, Madrid, Spain.
Biophys J. 2024 Sep 3;123(17):2860-2868. doi: 10.1016/j.bpj.2024.04.006. Epub 2024 Apr 10.
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.
微量移液器吸液技术在力学生物学领域中得到广泛应用，提供了多种测量类型。为了从实验中提取生物物理参数，需要进行数值分析。虽然之前的工作已经开发出了部分自动化分析这些实验的技术，但这些方法对于研究人员来说相对耗时。在本文中，我们描述了一种人工智能工具的开发和应用，该工具可用于完全自动化地分析微量移液器吸液实验。将该工具的使用与之前的方法进行了比较，并讨论了这些分析所需时间的显著减少。通过实现处理大量实验和实时测量的功能，该新工具为微量移液器吸液技术开辟了新的可能性。
