ReviewiScience2025
Advanced intensity-modulated fiber sensors for scalable sensing.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intensity-modulated fiber optic sensors (IM-FOSs) represent a cost-effective and structurally simple alternative to phase-based and wavelength-based optical sensors. Their operational principle enables the development of robust, scalable, and multiplexable systems suitable for a wide range of mechanical measurements. This review provides a structured overview of IM-FOS technologies, highlighting recent developments in architectures, interrogation methods, and application domains. An analysis with interferometric and Bragg-grating-based sensors is presented to clarify the trade-offs in sensitivity, complexity, and cost. Especially in industrial and civil monitoring, IM-FOSs offer unique advantages in terms of simplicity and adaptability. Finally, key research directions are outlined, including the integration of machine learning algorithms, the use of hybrid materials and smart structures, strategies to improve long-term stability, miniaturization and commercialization potential, and the pressing need for standardization. The article aims to provide a comprehensive reference for researchers and engineers seeking to develop or deploy intensity-based optical sensing systems.
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Registered trials
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.