[HTML][HTML] Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature Communications, 2022 - nature.com
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - 2022 - publishup.uni-potsdam.de
Sprache Englisch Modern single-particle-tracking techniques produce extensive time-series
of diffusive motion in a wide variety of systems, from single-molecule motion in living-cells to …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature Communications, 2022 - econpapers.repec.org
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - arXiv preprint arXiv:2211.04779, 2022 - arxiv.org
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature communications, 2022 - pubmed.ncbi.nlm.nih.gov
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - 2022 - researchsquare.com
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion.

H Seckler, R Metzler - Nature Communications, 2022 - search.ebscohost.com
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature Communications, 2022 - ui.adsabs.harvard.edu
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion.

H Seckler, R Metzler - Nature Communications, 2022 - europepmc.org
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

[HTML][HTML] Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature Communications, 2022 - ncbi.nlm.nih.gov
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …