Evidence map›Paper›PMID 41726787›Full record

ArticleACS photonics2026

Bridging Mid- and Near-Infrared by Combining Optomechanics and Self-Mixing.

Tecla Gabbrielli, Chenghong Zhang, Francesco Cappelli, Iacopo Galli, Andrea Ottomaniello, Jérôme Faist, Alessandro Tredicucci, Alessandro Pitanti, Paolo De Natale, Simone Borri and 1 more

Abstract read
In one paragraph

Article in ACS photonics, 2026. 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

11 authors.

Tecla GabbrielliCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.ORCID https://orcid.org/0000-0001-5767-3036
Chenghong ZhangCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.
Francesco CappelliCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.
Iacopo GalliCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.
Andrea OttomanielloCenter for Materials Interfaces, Istituto Italiano di Tecnologia, Via R. Piaggio, 34, Pontedera, Pisa 56025, Italy.
Jérôme FaistInstitute for Quantum Electronics, ETH Zürich, Zürich 8093, Switzerland.
Alessandro TredicucciDipartimento di Fisica, Universitá di Pisa, Largo B. Pontecorvo 3, Pisa 56127, Italy.ORCID https://orcid.org/0000-0003-3619-3011
Alessandro PitantiDipartimento di Fisica, Universitá di Pisa, Largo B. Pontecorvo 3, Pisa 56127, Italy.
Paolo De NataleCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.ORCID https://orcid.org/0000-0002-3308-8569
Simone BorriCNR-INO - Istituto Nazionale di Ottica, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.
Paolo VezioLENS - European Laboratory for Non-Linear Spectroscopy, Via Carrara, 1, Sesto Fiorentino, Florence 50019, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work describes a self-mixing-assisted optomechanical platform for transferring information between near- and mid-infrared radiation. In particular, the self-mixing signal of a mid-infrared quantum cascade laser is used to detect the oscillation of a membrane driven by light-induced forces exerted by a near-infrared excitation beam, which is amplitude-modulated at the membrane resonance frequency. This technique benefits from spectral broadness and, therefore, can link different spectral regions from both the excitation and the probe sides. This versatility can pave the way for future applications of this self-mixing-assisted optomechanical platform in free-space communication and advanced sensing systems.

Indexed as

feedback interferometryinformation transductioninfraredoptomechanicsquantum cascade laserself-mixing

Identifiers

PMID41726787
PMCPMC12922770

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.