Evidence map›Paper›PMID 41436555›Full record

ArticleScientific reports2025

Randomly distributed optical fibers in translucent mortar for privacy-preserving light transmission and digital image reconstruction.

Karina Hwang Arcolezi, Vivien Marion, Bora Ung, Claudiane Ouellet-Plamondon

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

4 authors.

Karina Hwang ArcoleziDepartment of Construction Engineering, École de Technologie Supérieure, Université du Québec, Québec City, Canada.
Vivien MarionDepartment of Electrical Engineering, École de Technologie Supérieure, Université du Québec, Québec City, Canada.
Bora UngDepartment of Electrical Engineering, École de Technologie Supérieure, Université du Québec, Québec City, Canada. bora.ung@etsmtl.ca.
Claudiane Ouellet-PlamondonDepartment of Construction Engineering, École de Technologie Supérieure, Université du Québec, Québec City, Canada. claudiane.ouellet-plamondon@etsmtl.ca.

Funding

Canada Research Chairs CRC-2019-00074École de technologie supérieure Research chair in engineering Marcelle-GauvreauFonds de recherche du Québec 2022-ART-317342Fonds de recherche du Québec 370841
6 · The paper itself

Abstract

Light-transmitting building materials often compromise visual privacy due to coherent light transmission. This study presents a novel composite utilizing randomly distributed optical fibers coupled with a computational image reconstruction system. A limestone-calcined clay cement (LC³) inspired matrix was designed for sustainability and material performance. An algorithmic approach assigned a random traceable fiber distribution via a bijective input-output mapping. The random fiber configuration achieves effective light diffusion, preserving physical privacy. However, using digital imaging and homography-based calibration, the network was computationally reconstructed to reverse the diffusion, recovering hidden visual information accurately. This demonstrates a dual functionality: architectural privacy combined with selective digital transparency. Geometric robustness tests confirmed a stable operational envelope (estimated error of 2.9%) across viewing distances of 30–110 cm and camera rotation angles up to ± 35º (pitch and yaw), establishing these fiber-instrumented cementitious composites as hybrid physical-digital materials for smart infrastructure applications.

Indexed as

Image reconstructionLight-transmitting materialsPhysical-digital interfaceVisual privacy

Identifiers

PMID41436555
PMCPMC12820325

What OpenQuestion holds

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LicenceCC BY
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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.