Evidence map›Paper›PMID 42250211›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Super-Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles.

Junlin Chen, Xiaoyu Wang, Jilin Fan, Bi Wang, Hanghang Fang, Yurui Wang, Hao Cui, Mohammad Roufarshbaf, Ekaterina Savina, Alexandra Valeske and 10 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Junlin ChenInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Xiaoyu WangInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Jilin FanInstitute of Technical and Macromolecular Chemistry, RWTH Aachen University, Aachen, Germany.
Bi WangInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Hanghang FangInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Yurui WangInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Hao CuiInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Mohammad RoufarshbafInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Ekaterina SavinaInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Alexandra ValeskeInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Quim PeñaInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0001-6477-8127
Yang ShiInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Andreas HerrmannInstitute of Technical and Macromolecular Chemistry, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0002-8886-0894
Twan LammersInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Mathias HornefInstitute of Medical Microbiology, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
Roman BarminInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Thomas LissonChair for Medical Engineering, Ruhr University Bochum, Bochum, Germany.
Georg SchmitzChair for Medical Engineering, Ruhr University Bochum, Bochum, Germany.
Anne RixInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Fabian KiesslingInstitute For Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.

Funding

Deutsche Forschungsgemeinschaft 403224013Deutsche Forschungsgemeinschaft CRC 1382Gut-Liver Axis 331065168Gut-Liver Axis 445703531Gut-Liver Axis CRU5011Gut-Liver Axis RTG2375Leibniz ScienceCampus: ACTISONO, supported by Leibniz Association W89/2023
6 · The paper itself

Abstract

Tracking the fate of transplanted cells in vivo remains a major challenge for the development and monitoring of cell-based therapies. Here, we report a nanobubble (NB) based acoustic labeling strategy that enables ultrasound localization microscopy (ULM) to track transplanted cells in tumors with single-cell-scale sensitivity and super-resolution spatial precision. We developed stable, biocompatible poly(butyl cyanoacrylate) NB that are efficiently internalized by cells and generate strong intracellular ultrasound signals. Furthermore, ULM allows the real-time visualization of individual cells, their localization, and trajectory reconstruction in flow phantoms and murine breast cancers. In the latter, NB-labeled bone marrow-derived mononuclear cells were tracked in vivo following intra-arterial injection, whereas unlabeled cells remained undetectable. By integrating cell trajectories with microbubble-based super-resolution vascular maps, our approach allows identification of the blood vessels that delivered the cells. This clinically compatible imaging strategy expands the application of ULM beyond vascular mapping and provides a platform for high-resolution, dynamic monitoring of cell-based therapies.

Indexed as

Cell TrackingEnbucrilateMicrobubblesPolymersAnimalsCell Line, TumorFemaleHumansMiceUltrasonographyEnbucrilatePolymerscell trackingintracellular labeling, cell deliverypolymeric nanobubblessuper‐resolution ultrasoundultrasound localization microscopy

Identifiers

PMID42250211
PMCPMC13361165

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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.