Evidence map›Paper›PMID 38511606›Full record

ArticleNanoscale2024

Quantifying particle concentration

Siqi Ye, Lei Xing, David Myung, Fang Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale, 2024. 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

4 authors.

Siqi YeDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA. yesiqi@stanford.edu.ORCID http://orcid.org/0000-0002-2295-3123
Lei XingDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA. yesiqi@stanford.edu.
David MyungSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA, 94305, USA. david.myung@stanford.edu.
Fang ChenSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA, 94305, USA. david.myung@stanford.edu.ORCID http://orcid.org/0000-0002-6675-5508

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Dual Modality X-ray Luminescence CT for in vivo Cancer ImagingR01CA227713 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2019 to 2023
$2.9M
Leveraging deep learning for markerless motion management in radiation therapyR01CA256890 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2021 to 2025
$2.1M
Nanoparticle-Based Tracking of Retinal Ganglion Cell TransplantK99EY034168 · NEI · STANFORD UNIVERSITY · PI CHEN, FANG · 2023 to 2024
$304k
NCI NIH HHS R01 CA227713NCI NIH HHS R01 CA256890NEI NIH HHS K99 EY034168NEI NIH HHS P30 EY026877
6 · The paper itself

Abstract

Efficient and robust quantification of the number of nanoparticles in solution is not only essential but also insufficient in nanotechnology and biomedical research. This paper proposes to use optical coherence tomography (OCT) to quantify the number of gold nanorods, which exemplify the nanoparticles with high light scattering signals. Additionally, we have developed an AI-enhanced OCT image processing to improve the accuracy and robustness of the quantification result.

Identifiers

PMID38511606
PMCPMC11090379

What OpenQuestion holds

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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.