Evidence map›Paper›PMID 24298419›Full record

ArticleBiomedical optics express2013

Development and optimization of near-IR contrast agents for immune cell tracking.

Pratixa P Joshi, Soon Joon Yoon, Yun-Sheng Chen, Stanislav Emelianov, Konstantin V Sokolov

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Recent advances in non-invasiveBiomaterials science · 2025
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  9. Article
  10. TiOInternational journal of nanomedicine
    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

5 authors at 1 institution in 1 country.

Pratixa P JoshiDepartment of Biomedical Engineering, University of Texas at Austin, 107 W Dean Keeton St, Austin, Texas 78712, USA.
Soon Joon Yoon
Yun-Sheng Chen
Stanislav Emelianov
Konstantin V Sokolov
The University of Texas at Austin · US

Funding

Acoustic Imaging of Sentinel Node Metastasis using Plasmonic NanosensorsR01EB008101 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, SOKOLOV, KONSTANTIN V · 2007 to 2015
$3.6M
Molecular photothermal therapy of cancer using targeted metal nanoparticlesR01CA149740 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y · 2010 to 2014
$1.6M
Combined Intravascular Ultrasound and Photoacoustic Imaging of AtherosclerosisR01HL096981 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y · 2009 to 2010
$1.4M
NCI NIH HHS R01 CA149740NHLBI NIH HHS R01 HL096981NIBIB NIH HHS R01 EB008101
6 · The paper itself

Abstract

Gold nanorods (NRs) are attractive for in vivo imaging due to their high optical cross-sections and tunable absorbance. However, the feasibility of using NRs for cell tracking has not been fully explored. Here, we synthesized dye doped silica-coated NRs as multimodal contrast agents for imaging of macrophages - immune cells which play an important role in cancer and cardiovascular diseases. We showed the importance of silica coating in imaging of NR-labeled cells. Photoacoustic (PA) imaging of NRs labeled macrophages showed high sensitivity. Therefore, these results provide foundation for applications of silica-coated NRs and PA imaging in tracking of immune cells.

Indexed as

(060.4230) Multiplexing(160.4236) Nanomaterials(170.0170) Medical optics and biotechnology(170.2520) Fluorescence microscopy(170.2655) Functional monitoring and imaging(170.5120) Photoacoustic imaging

Identifiers

PMID24298419
PMCPMC3829554
OpenAlexW2031057520

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.