Evidence map›Paper›PMID 36820325›Full record

ArticleACS photonics2023

Metasurface-Enabled 3-in-1 Microscopy.

Yuttana Intaravanne, Muhammad Afnan Ansari, Hammad Ahmed, Narina Bileckaja, Huabing Yin, Xianzhong Chen

Abstract read
In one paragraph

Article in ACS photonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Yuttana IntaravanneInstitute of Photonics and Quantum Sciences, School of Engineering and Physical Sciences, Heriot-Watt University, EdinburghEH14 4AS, U.K.ORCID https://orcid.org/0000-0002-0950-7866
Muhammad Afnan AnsariInstitute of Photonics and Quantum Sciences, School of Engineering and Physical Sciences, Heriot-Watt University, EdinburghEH14 4AS, U.K.
Hammad AhmedInstitute of Photonics and Quantum Sciences, School of Engineering and Physical Sciences, Heriot-Watt University, EdinburghEH14 4AS, U.K.
Narina BileckajaBiomedical Engineering Division, James Watt School of Engineering, University of Glasgow, GlasgowG12 8QQ, U.K.
Huabing YinBiomedical Engineering Division, James Watt School of Engineering, University of Glasgow, GlasgowG12 8QQ, U.K.ORCID https://orcid.org/0000-0001-7693-377X
Xianzhong ChenInstitute of Photonics and Quantum Sciences, School of Engineering and Physical Sciences, Heriot-Watt University, EdinburghEH14 4AS, U.K.ORCID https://orcid.org/0000-0001-7521-1548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Edge enhancement and polarization detection are critical to image transparent or low-contrast samples. However, currently available systems are limited to performing only a single functionality. To meet the requirement of system integration, there is a pressing need for a microscope with multiple functionalities. Here, we propose and develop a microscope with three different functionalities based on spatial multiplexing and polarization splitting. A novel geometric metasurface (MS) is used to realize a spiral phase profile and two phase gradient profiles along two vertical directions, which can perform such an extremely challenging optical task. This is the first demonstration of a 3-in-1 microscope that can simultaneously obtain five images with different optical properties in an imaging plane for the same sample. Imaging experiments with different samples verify its capability to simultaneously perform edge imaging, polarimetric imaging, and conventional microscope imaging. Benefiting from the compactness and multifunctionality of the optical MS device, the integration does not increase the volume of the microscope. This approach can enable users to visualize the multiple facets of samples in real-time.

Identifiers

PMID36820325
PMCPMC9936625

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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.