Evidence map›Paper›PMID 36560127›Full record

ArticleSensors (Basel, Switzerland)2022

Single Camera-Based Dual-Channel Near-Infrared Fluorescence Imaging system.

Janghoon Choi, Jun-Geun Shin, Yoon-Oh Tak, Youngseok Seo, Jonghyun Eom

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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 3 institutions in 1 country.

Janghoon ChoiIntelligent Photonic IoT Research Center, Korea Photonics Technology Institute, Gwangju 61007, Republic of Korea.
Jun-Geun ShinOptical Precision Measurement Research Center, Korea Photonics Technology Institute, Gwangju 61007, Republic of Korea.
Yoon-Oh TakIntelligent Photonic IoT Research Center, Korea Photonics Technology Institute, Gwangju 61007, Republic of Korea.
Youngseok SeoWONTECH Co., Ltd., Daejeon 34028, Republic of Korea.ORCID 0000-0001-7939-5428
Jonghyun EomIntelligent Photonic IoT Research Center, Korea Photonics Technology Institute, Gwangju 61007, Republic of Korea.ORCID 0000-0003-4499-0803
Korea Photonics Technology Institute · KRGwangju Institute of Science and Technology · KRWonkwang Pharmaceutical (South Korea) · KR

Funding

Korea government 2020R1F1A1051994Korea Institute of Marine Science and Technology 20170263Ministry of SMEs and Startups S2977279Ministry of SMEs and Startups S3073225
6 · The paper itself

Abstract

In this study, we propose a single camera-based dual-channel near-infrared (NIR) fluorescence imaging system that produces color and dual-channel NIR fluorescence images in real time. To simultaneously acquire color and dual-channel NIR fluorescence images of two fluorescent agents, three cameras and additional optical parts are generally used. As a result, the volume of the image acquisition unit increases, interfering with movements during surgical procedures and increasing production costs. In the system herein proposed, instead of using three cameras, we set a single camera equipped with two image sensors that can simultaneously acquire color and single-channel NIR fluorescence images, thus reducing the volume of the image acquisition unit. The single-channel NIR fluorescence images were time-divided into two channels by synchronizing the camera and two excitation lasers, and the noise caused by the crosstalk effect between the two fluorescent agents was removed through image processing. To evaluate the performance of the system, experiments were conducted for the two fluorescent agents to measure the sensitivity, crosstalk effect, and signal-to-background ratio. The compactness of the resulting image acquisition unit alleviates the inconvenient movement obstruction of previous devices during clinical and animal surgery and reduces the complexity and costs of the manufacturing process, which may facilitate the dissemination of this type of system.

Indexed as

Fluorescent DyesIndocyanine GreenAnimalsFluorescenceImage Processing, Computer-AssistedOptical ImagingFluorescent DyesIndocyanine Greendual-channel fluorescence imagingindocyanine greenmethylene bluenear-infrared fluorescence imaging systemreal-time imaging

Identifiers

PMID36560127
PMCPMC9786791
OpenAlexW4311387112

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.