Evidence map›Paper›PMID 42356705›Full record

ArticleSensors (Basel, Switzerland)2026

Image Formation and Resolution in Spatially Variant Coherent Imaging Systems.

Junchang Li, Chung-Hsuan Huang, Jinbin Gui, Chau-Jern Cheng, Han-Yen Tu

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.

Junchang LiDepartment of Physics, Kunming University of Science and Technology, Kunming 650500, China.
Chung-Hsuan HuangDepartment of Electrical Engineering, Chinese Culture University, Taipei 11114, Taiwan.ORCID 0000-0001-7502-5761
Jinbin GuiDepartment of Physics, Kunming University of Science and Technology, Kunming 650500, China.
Chau-Jern ChengInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan.
Han-Yen TuDepartment of Electrical Engineering, Chinese Culture University, Taipei 11114, Taiwan.

Funding

National Natural Science Foundation of China 62065010National Natural Science Foundation of China 62165007
6 · The paper itself

Abstract

Since the invention of lasers, coherent imaging has been widely employed in digital holographic microscopy. Improving the resolution of the image field remains a key challenge for achieving high-precision measurements. However, due to the high coherence of the laser, the resolution of the wavefront at the image plane depends not only on the radius of curvature of the illumination wavefront, but also on the observation position and direction. Existing theoretical approaches, which provide only approximate calculations of the amplitude distribution of the image field, are insufficient for practical applications. In this study, a theoretical framework for calculating the complex wavefield at the image plane is established, and analytical expressions describing the spectral distribution as functions of observation position and direction are derived. The proposed theory is experimentally validated using digital holographic microscopy. The results show good agreement between theory and experiment, demonstrating that the proposed approach accurately characterizes the spectral and resolution variations in the image field. These findings provide a solid theoretical foundation for the optimal design of digital holographic microscopy systems and illumination wavefields.

Indexed as

coherent imagingdigital holographic microscopyspace-variantspatial resolution

Identifiers

PMID42356705
PMCPMC13307456

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.