Evidence map›Paper›PMID 32790332›Full record

ArticleACS nano2020

Emergence and Rearrangement of Dynamic Supramolecular Aggregates Visualized by Interferometric Scattering Microscopy.

Maria A Lebedeva, Elena Palmieri, Philipp Kukura, Stephen P Fletcher

Abstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Standard protocol for mass photometry experiments.European biophysics journal : EBJ · 2021
    Article
  10. Coupled Metabolic Cycles Allow Out-of-Equilibrium Autopoietic Vesicle Replication.Angewandte Chemie (International ed. in English) · 2020
    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.

Maria A LebedevaDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, United Kingdom OX1 3TA.ORCID 0000-0002-4812-5537
Elena PalmieriDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, United Kingdom OX1 3TA.
Philipp KukuraDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, United Kingdom OX1 3TA.ORCID 0000-0003-0136-7704
Stephen P FletcherDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, United Kingdom OX1 3TA.ORCID 0000-0001-7629-0997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying dynamic self-assembling systems in their native environment is essential for understanding the mechanisms of self-assembly and thereby exerting full control over these processes. Traditional ensemble-based analysis methods often struggle to reveal critical features of the self-assembly that occur at the single particle level. Here, we describe a label-free single-particle assay to visualize real-time self-assembly in aqueous solutions by interferometric scattering microscopy. We demonstrate how the assay can be applied to biphasic reactions yielding micellar or vesicular aggregates, detecting the onset of aggregate formation, quantifying the kinetics at the single particle level, and distinguishing sigmoidal and exponential growth of aggregate populations. Furthermore, we can follow the evolution in aggregate size in real time, visualizing the nucleation stages of the self-assembly processes and record phenomena such as incorporation of oily components into the micelle or vesicle lumen.

Indexed as

InterferometryMicroscopyKineticsMicellesWaterMicellesWaterautocatalysisinterferometric scattering microscopylabel-free imagingself-assemblysingle-particle imaging

Identifiers

PMID32790332
PMCPMC7513470

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.