Evidence map›Paper›PMID 35787472›Full record

ArticleBiophysical journal2022

Estimating the localization spread function of static single-molecule localization microscopy images.

Thomas R Shaw, Frank J Fazekas, Sumin Kim, Jennifer C Flanagan-Natoli, Emily R Sumrall, Sarah L Veatch

Abstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thomas R ShawProgram in Biophysics, University of Michigan, Ann Arbor, Michigan; Program in Applied Physics, University of Michigan, Ann Arbor, Michigan.
Frank J FazekasProgram in Biophysics, University of Michigan, Ann Arbor, Michigan.
Sumin KimProgram in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan.
Jennifer C Flanagan-NatoliProgram in Biophysics, University of Michigan, Ann Arbor, Michigan.
Emily R SumrallProgram in Biophysics, University of Michigan, Ann Arbor, Michigan.
Sarah L VeatchProgram in Biophysics, University of Michigan, Ann Arbor, Michigan; Program in Applied Physics, University of Michigan, Ann Arbor, Michigan. Electronic address: sveatch@umich.edu.

Funding

Michigan IRACDA: Training Future Professors of Engineering and PhysiologyK12GM111725 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, SUSAN V, SEPT, DAVID · 2016 to 2025
$7.9M
Ion channel regulation by heterogeneous membranesR01GM110052 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VEATCH, SARAH L · 2014 to 2022
$2.9M
Ion channel regulation by heterogeneous membranesR01GM129347 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VEATCH, SARAH L · 2019 to 2022
$1.1M
NIGMS NIH HHS K12 GM111725NIGMS NIH HHS R01 GM110052NIGMS NIH HHS R01 GM129347
6 · The paper itself

Abstract

Single-molecule localization microscopy (SMLM) permits the visualization of cellular structures an order of magnitude smaller than the diffraction limit of visible light, and an accurate, objective evaluation of the resolution of an SMLM data set is an essential aspect of the image processing and analysis pipeline. Here, we present a simple method to estimate the localization spread function (LSF) of a static SMLM data set directly from acquired localizations, exploiting the correlated dynamics of individual emitters and properties of the pair autocorrelation function evaluated in both time and space. The method is demonstrated on simulated localizations, DNA origami rulers, and cellular structures labeled by dye-conjugated antibodies, DNA-PAINT, or fluorescent fusion proteins. We show that experimentally obtained images have LSFs that are broader than expected from the localization precision alone, due to additional uncertainty accrued when localizing molecules imaged over time.

Indexed as

MicroscopySingle Molecule ImagingDNAImage Processing, Computer-AssistedDNA

Identifiers

PMID35787472
PMCPMC9388596

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.