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Self-supervised machine learning pushes the sensitivity limit in label-free detection of single prot...

Self-supervised machine learning pushes the sensitivity limit in label-free detection of single prot...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9998267

Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa

About this item

Full title

Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa

Publisher

New York: Nature Publishing Group US

Journal title

Nature methods, 2023-03, Vol.20 (3), p.442-447

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Interferometric scattering (iSCAT) microscopy is a label-free optical method capable of detecting single proteins, localizing their binding positions with nanometer precision, and measuring their mass. In the ideal case, iSCAT is limited by shot noise such that collection of more photons should extend its detection sensitivity to biomolecules of ar...

Alternative Titles

Full title

Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9998267

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9998267

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/s41592-023-01778-2

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