Evidence map›Paper›PMID 38275310›Full record

ArticleBiosensors2024

A Multimode Microfiber Specklegram Biosensor for Measurement of CEACAM5 through AI Diagnosis.

Yuhui Liu, Weihao Lin, Fang Zhao, Yibin Liu, Junhui Sun, Jie Hu, Jialong Li, Jinna Chen, Xuming Zhang, Mang I Vai and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Yuhui LiuDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-0605-3248
Weihao LinDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-1499-2608
Fang ZhaoDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-8616-0659
Yibin LiuDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-3360-5482
Junhui SunDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Jie HuDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-4535-3366
Jialong LiDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Jinna ChenDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Xuming ZhangDepartment of Applied Physics, Hong Kong Polytechnic University, Hongkong 999077, China.ORCID 0000-0002-9326-5547
Mang I VaiDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China.
Perry Ping ShumDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-1391-4736
Liyang ShaoDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-1272-1959

Funding

Department of Natural Resources of Guangdong Province GDNRC [2022] No. 22Intelligent Laser Basic Research Laboratory, grant number PCL2021A14-B1Science, Technology and Innovation Commission of Shenzhen Municipality 20220815121807001
6 · The paper itself

Abstract

Carcinoembryonic antigen (CEACAM5), as a broad-spectrum tumor biomarker, plays a crucial role in analyzing the therapeutic efficacy and progression of cancer. Herein, we propose a novel biosensor based on specklegrams of tapered multimode fiber (MMF) and two-dimensional convolutional neural networks (2D-CNNs) for the detection of CEACAM5. The microfiber is modified with CEA antibodies to specifically recognize antigens. The biosensor utilizes the interference effect of tapered MMF to generate highly sensitive specklegrams in response to different CEACAM5 concentrations. A zero mean normalized cross-correlation (ZNCC) function is explored to calculate the image matching degree of the specklegrams. Profiting from the extremely high detection limit of the speckle sensor, variations in the specklegrams of antibody concentrations from 1 to 1000 ng/mL are measured in the experiment. The surface sensitivity of the biosensor is 0.0012 (ng/mL)

Indexed as

Biosensing TechniquesNeoplasmsCarcinoembryonic AntigenGPI-Linked ProteinsHumansCarcinoembryonic AntigenCEACAM5 protein, humanGPI-Linked Proteins2D-CNNbiosensorCEACAM5specklegramtapered MMFZNCC

Identifiers

PMID38275310
PMCPMC10813308

What OpenQuestion holds

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Registered trials

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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.