Evidence map›Paper›PMID 37497502›Full record

ArticleBiomedical optics express2023

SmartOCT: smartphone-integrated optical coherence tomography.

Joseph D Malone, Iftak Hussain, Audrey K Bowden

Abstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

3 authors.

Joseph D MaloneVanderbilt University, Dept. of Biomedical Engineering, Nashville, TN 37235, USA.ORCID https://orcid.org/0000-0003-1712-1995
Iftak HussainVanderbilt University, Dept. of Biomedical Engineering, Nashville, TN 37235, USA.ORCID https://orcid.org/0000-0001-7469-4314
Audrey K BowdenVanderbilt University, Dept. of Biomedical Engineering, Nashville, TN 37235, USA.

Funding

smartOCT: a low-cost technology to detect and monitor glaucoma in outpatient and primary care centersR01EY032670 · NEI · VANDERBILT UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA · 2021 to 2024
$1.6M
NEI NIH HHS R01 EY032670
6 · The paper itself

Abstract

Smartphone devices have seen unprecedented technical innovation in computational power and optical imaging capabilities, making them potentially invaluable tools in scientific imaging applications. The smartphone's compact form-factor and broad accessibility has motivated researchers to develop smartphone-integrated imaging systems for a wide array of applications. Optical coherence tomography (OCT) is one such technique that could benefit from smartphone-integration. Here, we demonstrate smartOCT, a smartphone-integrated OCT system that leverages built-in components of a smartphone for detection, processing and display of OCT data. SmartOCT uses a broadband visible-light source and line-field OCT design that enables snapshot 2D cross-sectional imaging. Furthermore, we describe methods for processing smartphone data acquired in a RAW data format for scientific applications that improves the quality of OCT images. The results presented here demonstrate the potential of smartphone-integrated OCT systems for low-resource environments.

Identifiers

PMID37497502
PMCPMC10368059

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.