Evidence map›Paper›PMID 35663639›Full record

ArticleAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany)2021

Reversible Design of Dynamic Assemblies at Small Scales.

Fernando Soto, Jie Wang, Shreya Deshmukh, Utkan Demirci

Abstract read
In one paragraph

Article in Advanced intelligent systems (Weinheim an der Bergstrasse, Germany), 2021. 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.

  1. Review
  2. Article
  3. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  4. Review
  5. Review
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.

Fernando SotoBio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California, 94304-5427, USA.
Jie WangBio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California, 94304-5427, USA.
Shreya DeshmukhBio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California, 94304-5427, USA.
Utkan DemirciBio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California, 94304-5427, USA.

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI SINCLAIR, ROBERT · 2015 to 2019
$9.6M
Stanford Molecular Imaging Scholars - SMISR25CA118681 · NCI · STANFORD UNIVERSITY · PI LEVIN, CRAIG S · 2006 to 2015
$5.0M
Stanford Molecular Imaging Scholars (SMIS) ProgramT32CA118681 · NCI · STANFORD UNIVERSITY · PI CRAIG S LEVIN · 2016 to 2026
$4.3M
NCI NIH HHS R25 CA118681NCI NIH HHS T32 CA118681NCI NIH HHS U54 CA199075
6 · The paper itself

Abstract

Emerging bottom-up fabrication methods have enabled the assembly of synthetic colloids, microrobots, living cells, and organoids to create intricate structures with unique properties that transcend their individual components. This review provides an access point to the latest developments in externally driven assembly of synthetic and biological components. In particular, we emphasize reversibility, which enables the fabrication of multiscale systems that would not be possible under traditional techniques. Magnetic, acoustic, optical, and electric fields are the most promising methods for controlling the reversible assembly of biological and synthetic subunits since they can reprogram their assembly by switching on/off the external field or shaping these fields. We feature capabilities to dynamically actuate the assembly configuration by modulating the properties of the external stimuli, including frequency and amplitude. We describe the design principles which enable the assembly of reconfigurable structures. Finally, we foresee that the high degree of control capabilities offered by externally driven assembly will enable broad access to increasingly robust design principles towards building advanced dynamic intelligent systems.

Indexed as

active matterbioassemblyExternally drivenmesoscale assemblyreversible assembly

Identifiers

PMID35663639
PMCPMC9165726

What OpenQuestion holds

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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.