Evidence map›Paper›PMID 39635354›Full record

ArticleNanophotonics (Berlin, Germany)2023

Learning flat optics for extended depth of field microscopy imaging.

Ipek Anil Atalay Appak, Erdem Sahin, Christine Guillemot, Humeyra Caglayan

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ipek Anil Atalay AppakFaculty of Engineering and Natural Science, Photonics, Tampere University, 33720 Tampere, Finland.ORCID https://orcid.org/0000-0001-5327-7423
Erdem SahinFaculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.ORCID https://orcid.org/0000-0002-5371-6649
Christine GuillemotINRIA Rennes - Bretagne Atlantique, Rennes, France.ORCID https://orcid.org/0000-0003-1604-967X
Humeyra CaglayanFaculty of Engineering and Natural Science, Photonics, Tampere University, 33720 Tampere, Finland.ORCID https://orcid.org/0000-0002-0656-614X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional microscopy systems have limited depth of field, which often necessitates depth scanning techniques hindered by light scattering. Various techniques have been developed to address this challenge, but they have limited extended depth of field (EDOF) capabilities. To overcome this challenge, this study proposes an end-to-end optimization framework for building a computational EDOF microscope that combines a 4f microscopy optical setup incorporating learned optics at the Fourier plane and a post-processing deblurring neural network. Utilizing the end-to-end differentiable model, we present a systematic design methodology for computational EDOF microscopy based on the specific visualization requirements of the sample under examination. In particular, we demonstrate that the metasurface optics provides key advantages for extreme EDOF imaging conditions, where the extended DOF range is well beyond what is demonstrated in state of the art, achieving superior EDOF performance.

Indexed as

diffractive opticsend-to-end learningextended depth of fieldmetasurfacesmicroscopy imaging

Identifiers

PMID39635354
PMCPMC11501112

What OpenQuestion holds

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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.