Evidence map›Paper›PMID 39394978›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

Nanoporous Submicron Gold Particles Enable Nanoparticle-Based Localization Optoacoustic Tomography (nanoLOT).

Daniil Nozdriukhin, Marco Cattaneo, Norman Klingler, Shuxin Lyu, Weiye Li, Francisco Montero de Espinosa, Jerome Bonvin, Outi Supponen, Daniel Razansky, Xosé Luís Deán-Ben

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Daniil NozdriukhinInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.ORCID 0000-0002-5217-1747
Marco CattaneoInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Norman KlinglerInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Shuxin LyuInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Weiye LiInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Francisco Montero de EspinosaInstitute of Physics and Communication Technologies, CSIC, Serrano 144, Madrid, 28006, Spain.
Jerome BonvinInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Outi SupponenInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Daniel RazanskyInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Xosé Luís Deán-BenInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zürich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.

Funding

High-Resolution Bidirectional Optical-Acoustic Mesoscopic Neural Interface for Image-Guided Neuromodulation in Behaving Animals - RF1 Admin SupplementRF1NS126102 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CAMPBELL, ROBERT E., RAZANSKY, DANIEL · 2022 to 2024
$3.1M
Innosuisse - Schweizerische Agentur für Innovationsförderung 51767.1 IP-LSNational Science Foundation 310030_192757NINDS NIH HHS RF1 NS126102US National Institutes of Health R01-NS126102-01
6 · The paper itself

Abstract

Localization optoacoustic tomography (LOT) has recently emerged as a transformative super-resolution technique breaking through the acoustic diffraction limit in deep-tissue optoacoustic (OA) imaging via individual localization and tracking of particles in the bloodstream. However, strong light absorption in red blood cells has previously restricted per-particle OA detection to relatively large microparticles, ≈5 µm in diameter. Herein, it is demonstrated that submicron-sized porous gold nanoparticles, ≈600 nm in diameter, can be individually detected for noninvasive super-resolution imaging with LOT. Ultra-high-speed bright-field microscopy revealed that these nanoparticles generate microscopic plasmonic vapor bubbles, significantly enhancing opto-acoustic energy conversion through a nano-to-micro size transformation. Comprehensive in vitro and in vivo tests further demonstrated the biocompatibility and biosafety of the particles. By reducing the detectable particle size by an order of magnitude, nanoLOT enables microangiographic imaging with a significantly reduced risk of embolisms from particle aggregation and opens new avenues to visualize how nanoparticles reach vascular and potentially extravascular targets. The performance of nanoLOT for non-invasive imaging of microvascular networks in the murine brain anticipates new insights into neurovascular coupling mechanisms and longitudinal microcirculatory changes associated with neurodegenerative diseases.

Indexed as

GoldMetal NanoparticlesPhotoacoustic TechniquesTomographyAnimalsHumansMiceParticle SizePorosityGoldlocalization optoacoustic tomographyoptoacoustic imagingporous gold nanoparticlesultra‐high‐speed camera

Identifiers

PMID39394978
PMCPMC11657075

What Socratic holds

Textmetadata
LicenceTDM
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.