Evidence map›Paper›PMID 36032578›Full record

ArticleBiomedical optics express2022

Integration of Fourier ptychography with machine learning: an alternative scheme.

Yiwen Chen, Tingfa Xu, Haixin Sun, Jizhou Zhang, Bo Huang, Jinhua Zhang, Jianan Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2022. 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

7 authors.

Yiwen ChenSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0002-1734-2141
Tingfa XuSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Haixin SunSchool of Electronic and Information Engineering, Changchun University, Changchun 130022, China.
Jizhou ZhangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Bo HuangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0001-6734-5247
Jinhua ZhangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0002-8621-2201
Jianan LiSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the core task of the reconstruction in conventional ptychography (CP) and Fourier ptychographic microscopy (FPM), the meticulous design of ptychographical iterative engine (PIE) largely affects the performance of reconstruction algorithms. Compared to traditional PIE algorithms, the paradigm of combining with machine learning to cross a local optimum has recently achieved significant progress. Nevertheless, existing designed engines still suffer drawbacks such as excessive hyper-parameters, heavy tuning work and lack of compatibility, which greatly limit their practical applications. In this work, we present a complete set of alternative schemes comprised of

Identifiers

PMID36032578
PMCPMC9408244

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.