Cargando…
Deep Learning for Live Cell Shape Detection and Automated AFM Navigation
Atomic force microscopy (AFM) provides a platform for high-resolution topographical imaging and the mechanical characterization of a wide range of samples, including live cells, proteins, and other biomolecules. AFM is also instrumental for measuring interaction forces and binding kinetics for prote...
Autores principales: | Rade, Jaydeep, Zhang, Juntao, Sarkar, Soumik, Krishnamurthy, Adarsh, Ren, Juan, Sarkar, Anwesha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598706/ https://www.ncbi.nlm.nih.gov/pubmed/36290490 http://dx.doi.org/10.3390/bioengineering9100522 |
Ejemplares similares
-
Few-shot deep learning for AFM force curve characterization of single-molecule interactions
por: Waite, Joshua R., et al.
Publicado: (2023) -
A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves
por: Balu, Aditya, et al.
Publicado: (2019) -
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
por: Jiang, Zhanhong, et al.
Publicado: (2021) -
Automated description of the mandible shape by deep learning
por: Vila-Blanco, Nicolás, et al.
Publicado: (2021) -
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data
por: Stoecklein, Daniel, et al.
Publicado: (2017)