Evidence map›Paper›PMID 42655476›Full record

ArticleSensors (Basel, Switzerland)2026

Sparse-Scan Ptychography with Hybrid-Overlap Scanning and Reference-Guided Probe Updates.

Sheng Chen, Zijian Xu, Ruoru Li, Xiangzhi Zhang, Renzhong Tai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sheng ChenShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.ORCID 0009-0005-0469-5406
Zijian XuShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.ORCID 0000-0002-0006-5301
Ruoru LiShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.ORCID 0009-0001-8205-4998
Xiangzhi ZhangShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.ORCID 0009-0006-5935-8383
Renzhong TaiShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFA1603702, 2021YFA1601001National Natural Science Foundation of China 12335019, 12541504, 11875316
6 · The paper itself

Abstract

Sparse-scan ptychography accelerates data acquisition but compromises the overlap-induced redundancy essential for stable blind reconstruction. In low-overlap cases, object errors are often transferred to the probe update, causing crosstalk and artifacts. In this work, we propose a sparse-scan ptychography method termed hybrid-scan ptychography, which combines a hybrid-overlap scanning strategy with a reference-guided ePIE reconstruction algorithm. In this method, a localized high-overlap scan is used to establish a reliable probe estimate for reconstructing a wide field of view scanned on a low-overlap grid. As a stabilizing prior, this probe estimate is integrated into the ePIE probe update for the low-overlap region through an additional quadratic regularization term, thereby ensuring accurate probe reconstruction for sparse-scan region. This method effectively suppresses sparse-scan artifacts and ensures robust, high-fidelity reconstruction, as demonstrated by numerical simulations and soft X-ray ptychography experiments. With the new method, the acquisition efficiency of ptychography can be increased by at least 2 times without significant resolution reduction.

Indexed as

ePIEhybrid-overlapptychographysparse-scan

Identifiers

PMID42655476
PMCPMC13517391

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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.