Evidence map›Paper›PMID 30846363›Full record

ArticleBiophysical journal2019

SMALL-LABS: Measuring Single-Molecule Intensity and Position in Obscuring Backgrounds.

Benjamin P Isaacoff, Yilai Li, Stephen A Lee, Julie S Biteen

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Characterizing the Impact of Nucleoid-Associated Proteins on HU-DNA Interactions by Live-Cell Single-Molecule Tracking.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
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  8. Dps binds and protects DNA in starvedbioRxiv : the preprint server for biology · 2025
    Article
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  14. Triggered cagedSTORM microscopy.Biomedical optics express · 2024
    Article
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  20. An experimental framework to assess biomolecular condensates in bacteria.bioRxiv : the preprint server for biology · 2023
    Article
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

4 authors.

Benjamin P IsaacoffDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan.
Yilai LiDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan.
Stephen A LeeDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan.
Julie S BiteenDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan. Electronic address: jsbiteen@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule and super-resolution imaging relies on successful, sensitive, and accurate detection of the emission from fluorescent molecules. Yet, despite the widespread adoption of super-resolution microscopies, single-molecule data processing algorithms can fail to provide accurate measurements of the brightness and position of molecules in the presence of backgrounds that fluctuate significantly over time and space. Thus, samples or experiments that include obscuring backgrounds can severely, or even completely, hinder this process. To date, no general data analysis approach to this problem has been introduced that is capable of removing obscuring backgrounds for a wide variety of experimental modalities. To address this need, we present the Single-Molecule Accurate LocaLization by LocAl Background Subtraction (SMALL-LABS) algorithm, which can be incorporated into existing single-molecule and super-resolution analysis packages to accurately locate and measure the intensity of single molecules, regardless of the shape or brightness of the background. Accurate background subtraction is enabled by separating the foreground from the background based on differences in the temporal variations of the foreground and the background (i.e., fluorophore blinking, bleaching, or moving). We detail the function of SMALL-LABS here, and we validate the SMALL-LABS algorithm on simulated data as well as real data from single-molecule imaging in living cells.

Indexed as

Bacillus subtilisCell SurvivalSingle Molecule Imaging

Identifiers

PMID30846363
PMCPMC6428939

What OpenQuestion holds

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Registered trials

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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.