Evidence map›Paper›PMID 42725122›Full record

ArticleIEEE transactions on computational imaging2026

Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging.

Qianwan Yang, Zhixiong Chen, Jiaqi Zhang, Ruipeng Guo, Guorong Hu, Lei Tian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on computational imaging, 2026. 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

6 authors.

Qianwan YangDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215 USA.
Zhixiong ChenDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215 USA.
Jiaqi ZhangDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215 USA.
Ruipeng GuoDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215 USA.
Guorong HuDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215 USA.
Lei TianDepartment of Electrical and Computer Engineering and the Department of Biomedical Engineering, Boston University, Boston, MA 02215 USA.

Funding

Computational Miniature Mesoscope for Cortex-wide, Cellular resolution Ca2+ Imaging in Freely Behaving MiceR01NS126596 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Lei Tian · 2022 to 2026
$2.0M
NINDS NIH HHS R01 NS126596
6 · The paper itself

Abstract

Wide-field fluorescence microscopy with compact optics often suffers from spatially varying blur due to field-dependent aberrations, vignetting, and sensor truncation, while finite sensor sampling imposes an inherent trade-off between field of view (FOV) and resolution. Computational Miniaturized Mesoscope (CM

Indexed as

Coordinate-conditioned networkFluorescence microscopyMulti-aperture imagingSpatially-varying deconvolution

Identifiers

PMID42725122
PMCPMC13560750

What OpenQuestion holds

Textmetadata
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.