Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis o...
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion
About this item
Full title
Author / Creator
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
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More information
Scope and Contents
Contents
Single-particle tracking (SPT) is a key tool for quantitative analysis of dynamic biological processes and has provided unprecedented insights into a wide range of systems such as receptor localization, enzyme propulsion, bacteria motility, and drug nanocarrier delivery. The inherently complex diffusion in such biological systems can vary drastical...
Alternative Titles
Full title
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8346862
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8346862
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2104624118
