Evidence map›Paper›PMID 41315637›Full record

ArticleScientific reports2025

A cost-effective diffuse optical tomographic system for imaging absorbing and fluorescent targets in a scattering medium.

Zachary Ding, Matthew Cai, Sarah Ali, James Stewart, Zayn McKeon, Melvin Zunyao Jiang, Avery Yuan, Baohong Yuan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

8 authors.

Zachary Ding *SRCP, 76092, RCLabX, Southlake, TX, USA.
Matthew Cai *SRCP, 76092, RCLabX, Southlake, TX, USA.
Sarah AliSRCP, 76092, RCLabX, Southlake, TX, USA.
James StewartSRCP, 76092, RCLabX, Southlake, TX, USA.
Zayn McKeonSRCP, 76092, RCLabX, Southlake, TX, USA.
Melvin Zunyao JiangSRCP, 76092, RCLabX, Southlake, TX, USA.
Avery YuanSRCP, 76092, RCLabX, Southlake, TX, USA.
Baohong YuanSRCP, 76092, RCLabX, Southlake, TX, USA. infosrcp2022@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we designed, built, characterized and demonstrated a cost-effective diffuse optical tomographic (DOT) system for imaging absorbing and fluorescent targets and fluorescence alteration induced by temperature change in a scattering medium. DOT based imaging in a scattering media (such as biological tissue) is highly desired because of its high sensitivity and non-invasive nature. Unfortunately, conventional methods require expensive devices, such as lasers, optical switches, scientific cameras or photon detectors and advanced electronic controlling systems and data acquisition tools. To lower the cost and provide a simple system that can be used by researchers, teachers, and students who have a limited budget, we investigated and tested a method that uses light-emitting diodes (LEDs), a mobile phone-based camera, and a low-cost microcontroller (an Uno R3 board) to achieve the goal with reasonable accuracy. This method includes a hardware system, a software system for hardware controlling, data acquisition and processing, and an imaging reconstruction algorithm. By combining these subsystems, we demonstrated the feasibility of 3-dimensional imaging of absorbing and fluorescence targets and temperature change-induced fluorescence in a scattering medium using a temperature-sensitive fluorophore.

Indexed as

Data processingDiffuse optical tomographyImaging systemInstrumentLEDLow costMicro-controllerPhone cameraScattering mediumTemperature

Identifiers

PMID41315637
PMCPMC12753726

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.