Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 772

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

MEMS-tunable dielectric metasurface lens

Open access
Arbabi, Ehsan, Arbabi, Amir, Kamali, Seyedeh Mahsa, Horie, Yu, Faraji-Dana, MohammadSadegh, Faraon, Andrei·2018·Nature Communications

Abstract

Varifocal lenses, conventionally implemented by changing the axial distance between multiple optical elements, have a wide range of applications in imaging and optical beam scanning. The use of conventional bulky refractive elements makes these varifocal lenses large, slow, and limits their tunability. Metasurfaces, a new category of lithographically defined diffractive devices, enable thin and lightweight optical elements with precisely engineered phase profiles. Here we demonstrate tunable metasurface doublets, based on microelectromechanical systems (MEMS), with more than 60 diopters (about 4%) change in the optical power upon a 1-μm movement of one metasurface, and a scanning frequency that can potentially reach a few kHz. They can also be integrated with a third metasurface to make compact microscopes (~1 mm thick) with a large corrected field of view (~500 μm or 40 degrees) and fast axial scanning for 3D imaging. This paves the way towards MEMS-integrated metasurfaces as a platform for tunable and reconfigurable optics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-018-03155-6

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 53 references

Cited by

See all 772

Metadata

Authors
Arbabi, E., Arbabi, A., Kamali, S. M., Horie, Y., Faraji-Dana, M., & Faraon, A.
Venue
Nature Communications
Published
2018-02-23
Volume
9
Issue
1
Pages
812-812
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2886728826
Cited by
772
References
53
FWCI
22.53
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MEMS-tunable dielectric metasurface lens. https://app.cochat.ai/papers/10.1038/s41467-018-03155-6
The paper
Arbabi, E., Arbabi, A., Kamali, S. M., Horie, Y., Faraji-Dana, M., & Faraon, A. (2018). MEMS-tunable dielectric metasurface lens. Nature Communications. https://doi.org/10.1038/s41467-018-03155-6

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.