Evidence map›Paper›PMID 40680140›Full record

ArticleScience advances2025

Real-time color flow mapping of ultrasound microrobots.

Cornel Dillinger, Ahilan Rasaiah, Abigail Vogel, Chaimae Bahou, Katia Monastyrskaya, Ali Hashemi Gheinani, Daniel Ahmed

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Cornel DillingerAcoustic Robotics Systems Lab, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-1734-5713
Ahilan RasaiahAcoustic Robotics Systems Lab, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0009-0003-9030-1367
Abigail VogelAcoustic Robotics Systems Lab, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0009-0006-4661-4763
Chaimae BahouFunctional Urology Research Group, Department for Biomedical Research, University of Bern, Bern, Switzerland.ORCID 0009-0000-2040-7164
Katia MonastyrskayaFunctional Urology, Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Ali Hashemi GheinaniFunctional Urology, Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Daniel AhmedAcoustic Robotics Systems Lab, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-0224-5293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualization and tracking of microrobots in real time pose key challenges for surgical microrobotic systems, as existing imaging modalities like magnetic resonance imaging, computed tomography, and x-ray are unable to monitor microscale items with real-time resolution. Ultrasound imaging-guided drug administration represents a remarkable advancement in this respect, offering real-time visual feedback on invasive medical procedures. However, ultrasound imaging still faces substantial inherent limitations in spatial resolution and signal attenuation, which hinder extending this method to microrobot visualization. Here, we introduce an approach for visualizing individual microrobots in real time with color flow mapping ultrasound imaging based on acoustically induced structural oscillations of the microrobot generating a pseudo-Doppler signal. This approach enables the simultaneous localization and activation of bubble-based microrobots using two ultrasound sources operating at distinct frequency bandwidths. Our successful capture of microrobots measuring 60 to 80 micrometers in diameter reveals the potential of real-time ultrasonic imaging at the microscale.

Indexed as

RoboticsUltrasonography

Identifiers

PMID40680140
PMCPMC12273784

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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.