Machine-learning-powered extraction of molecular diffusivity from single-molecule images for super-resolution mapping

While critical to biological processes, molecular diffusion is difficult to quantify, and spatial mapping of local diffusivity is even more challenging. Here we report a machine-learning-enabled approach, pixels-to-diffusivity (Pix2D), to directly extract the diffusion coefficient D from single-mole...

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Detalles Bibliográficos
Autores principales: Park, Ha H., Wang, Bowen, Moon, Suhong, Jepson, Tyler, Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050076/
https://www.ncbi.nlm.nih.gov/pubmed/36977778
http://dx.doi.org/10.1038/s42003-023-04729-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050076/
https://www.ncbi.nlm.nih.gov/pubmed/36977778
http://dx.doi.org/10.1038/s42003-023-04729-x

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