Evidence map›Paper›PMID 38831129›Full record

ArticleNature materials2024

Enabling three-dimensional real-space analysis of ionic colloidal crystallization.

Shihao Zang, Adam W Hauser, Sanjib Paul, Glen M Hocky, Stefano Sacanna

Abstract read
In one paragraph

Article in Nature materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Dynamic and asymmetric colloidal molecules.Nature communications · 2025
    Article
  6. 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

5 authors.

Shihao ZangDepartment of Chemistry, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-3996-8265
Adam W HauserDepartment of Chemistry, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0001-9421-498X
Sanjib PaulDepartment of Chemistry, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-2985-7780
Glen M HockyDepartment of Chemistry, New York University, New York, NY, USA. hockyg@nyu.edu.ORCID http://orcid.org/0000-0002-5637-0698
Stefano SacannaDepartment of Chemistry, New York University, New York, NY, USA. s.sacanna@nyu.edu.ORCID http://orcid.org/0000-0002-8399-3524

Funding

Harnessing simulations to uncover molecular mechanisms of mechanosensingR35GM138312 · NIGMS · NEW YORK UNIVERSITY · PI Glen Hocky · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM138312United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-21-1-0011
6 · The paper itself

Abstract

Structures of molecular crystals are identified using scattering techniques because we cannot see inside them. Micrometre-sized colloidal particles enable the real-time observation of crystallization with optical microscopy, but in practice this is still hampered by a lack of 'X-ray vision'. Here we introduce a system of index-matched fluorescently labelled colloidal particles and demonstrate the robust formation of ionic crystals in aqueous solution, with structures that can be controlled by size ratio and salt concentration. Full three-dimensional coordinates of particles are distinguished through in situ confocal microscopy, and the crystal structures are identified via comparison of their simulated scattering pattern with known atomic arrangements. Finally, we leverage our ability to look inside colloidal crystals to observe the motion of defects and crystal melting in time and space and to reveal the origin of crystal twinning. Using this platform, the path to real-time analysis of ionic colloidal crystallization is now 'crystal clear'.

Identifiers

PMID38831129
PMCPMC11296917

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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.