Evidence map›Paper›PMID 40335471›Full record

ArticleMicrosystems & nanoengineering2025

Streaming-based Tweezers for Routing, Engineering, and Manipulation of multiparticles: STREAM.

Haodong Zhu, Wenjun Yu, Neil Upreti, Tony Jun Huang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Haodong ZhuDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC, 27708, USA.
Wenjun YuDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC, 27708, USA.
Neil UpretiDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0002-0751-8174
Tony Jun HuangDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC, 27708, USA. tony.huang@duke.edu.

Funding

Development of a digital acoustofluidic system for automating liquid handling in biomedical researchR01GM141055 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2021 to 2024
$1.9M
Harmonic Acoustics for Neighboring cell Dynamic studies(HANDs)R01GM145960 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, LUKE P. · 2022 to 2025
$1.8M
National Science Foundation (NSF) CMMI-2104295NIGMS NIH HHS R01 GM141055NIGMS NIH HHS R01 GM145960
6 · The paper itself

Abstract

Contactless manipulation of samples, particularly the ability to dynamically handle multiple fragile specimens while maintaining their integrity and viability, is crucial for various applications in biology, medicine, engineering, and physics. While hydrodynamic tweezers have emerged as a promising approach for gentle, label-free manipulation of a wide range of sample types and sizes, they typically have limited flexibility in terms of dynamic control, making it challenging to realize high-resolution and programmable manipulation of multiple samples. Here, we introduce the Streaming-based Tweezers for Routing, Engineering, And Manipulation of multiparticles (STREAM) with sub-wavelength resolution. The platform employs an array of piezoelectric plates arranged in a space-reciprocal pattern to generate acoustic streaming, creating localized trapping points. The mechanism of particle trapping and the improvement of routing resolution via multiunit activation were investigated. Subsequently, a convolutional neural network (CNN) with arbitrary voltage combination as the input and predicted trapping position as the output was integrated into the system. The CNN calibration is vital to the system as it enhances the platform's performance, enabling precise control of the trapping positions beyond traditional physical unit size limitations. We demonstrated the STREAM platform's capabilities through single particle routing with sub-wavelength precision, simultaneous manipulation of multiple particles, and on-demand assembly of samples. The STREAM platform opens new possibilities for applications requiring precise and dynamic control of particles and samples, with the potential to advance fields including biology, chemistry, and materials science.

Identifiers

PMID40335471
PMCPMC12058972

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.