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ORCID: https://orcid.org/0000-0002-1600-8555, González Bermúdez, Blanca
ORCID: https://orcid.org/0000-0002-1266-0917 and Plaza Baonza, Gustavo Ramón
ORCID: https://orcid.org/0000-0002-5555-5498
(2024).
Enhancing Micropipette Aspiration with Artificial Intelligence Analysis.
"Biophysical Journal", v. 123
(n. 17);
pp. 2860-2868.
ISSN 0006-3495.
https://doi.org/10.1016/j.bpj.2024.04.006.
| Título: | Enhancing Micropipette Aspiration with Artificial Intelligence Analysis |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Biophysical Journal |
| Fecha: | Septiembre 2024 |
| ISSN: | 0006-3495 |
| Volumen: | 123 |
| Número: | 17 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | micropipette aspiration; artificial intelligence; cell mechanobiology; biomaterials |
| Escuela: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
| Departamento: | Ciencia de los Materiales |
| Grupo Investigación UPM: | Materiales Estructurales Avanzados y Nanomateriales |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 87841 |
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| Identificador DC: | https://oa.upm.es/87841/ |
| Identificador OAI: | oai:oa.upm.es:87841 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10247154 |
| Identificador DOI: | 10.1016/j.bpj.2024.04.006 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | Dr. Blanca de los Reyes González Bermúdez |
| Depositado el: | 13 Feb 2025 15:24 |
| Ultima Modificación: | 16 Ene 2026 11:07 |
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