Evidence map›Paper›PMID 40167745›Full record

ArticleOptics letters2025

Resolution enhancement by subpixel sampling and computational reconstruction.

Jonathan Brewer, Milad Almasian, Alireza Saberigarakani, Xinyuan Zhang, Fenghua Shi, Yichen Ding

Abstract read
In one paragraph

Article in Optics letters, 2025. 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

6 authors.

Jonathan Brewer
Milad Almasian
Alireza Saberigarakani
Xinyuan Zhang
Fenghua Shi
Yichen Ding

Funding

Volumetric imaging and computation to characterize cardiac electromechanical couplingR01HL162635 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI Yichen Ding · 2023 to 2026
$1.5M
Integrating imaging and computation to characterize neural crest cells in the myocardial development and regenerationR00HL148493 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI DING, YICHEN · 2020 to 2022
$730k
NHLBI NIH HHS R00 HL148493NHLBI NIH HHS R01 HL162635
6 · The paper itself

Abstract

Image resolution and field of view in far-field optical microscopy are often inversely proportional to one another due to digital sampling limitations imposed by the magnification of the system and the pixel size of the sensor. We present a method including a spatial shifting mechanism and a reconstruction algorithm that bypasses this trade-off by shifting the sample to be imaged by subpixel increments, before registering the images via phase correlation and combining the resulting registered images using the shift-and-add approach. Importantly, this method requires no specific optical components that are uncommon to commercially available or custom-built microscope systems. The findings of the presented study demonstrate an improvement to spatial resolution of ∼42% while maintaining the system's field of view (FOV), leading to a more than twofold improvement to the system's space-bandwidth product (SBP).

Identifiers

PMID40167745
PMCPMC12549004

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.