Evidence map›Paper›PMID 41368083›Full record

ArticleBiomedical optics express2025

ST-FPM: suppressor tunable FPM for high-quality and highly robust full-field reconstruction.

Jingze Zheng, Yuncheng Wang, Yiwen Chen, Jianan Li, Tingfa Xu

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Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jingze ZhengKey Laboratory of Photoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0009-0006-0364-4241
Yuncheng WangKey Laboratory of Photoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Yiwen ChenKey Laboratory of Photoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0002-1734-2141
Jianan LiKey Laboratory of Photoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Tingfa XuKey Laboratory of Photoelectronic Imaging Technology and System, School 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

Fourier ptychographic microscopy (FPM) offers an effective approach for high-resolution (HR) and large field-of-view (FOV) imaging, with significant applications in digital pathology. However, the full-field reconstruction is limited by the vignetting effect, so it needs to be processed by blocks and stitching, which will lead to stitching artifacts and reduce the reconstruction quality. Although the reconstruction algorithm based on the feature domain avoids vignetting artifacts, due to the fact that the loss function of the feature domain and the spatial gradient operation are only based on the amplitude (or intensity) of the image, the improper utilization (excessive or insufficient) of image features, the reconstruction details become blurred or distorted, limiting the performance of the algorithm. In this work, we propose a suppressor tunable FPM (ST-FPM) to achieve high-quality and robust full-field reconstruction by modulating the loss in the feature domain. This algorithm introduces a weighted term with a tunable suppressor in the gradient of the loss function, efficiently utilizes the image feature information to guide the reconstruction, and makes the gradient update more conducive to detail recovery. Compared with the existing full-field reconstruction algorithms, ST-FPM can flexibly adjust the feature utilization degree of different samples to obtain full-field reconstruction with clear and reliable details and excellent quality. Extensive simulations and system experiments show that ST-FPM has significant advantages in reconstruction details and robustness, providing a promising direction for the development of full-field reconstruction methods.

Identifiers

PMID41368083
PMCPMC12684061

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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.