Evidence map›Paper›PMID 42559530›Full record

ArticleIEEE photonics journal2026

Photonics Breakthroughs 2025: Mask-Based Integrated Miniscope for Large-scale Volumetric Imaging.

Feng Tian, Weijian Yang

Abstract read
In one paragraph

Article in IEEE photonics journal, 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

2 authors.

Feng TianThe authors are with the Department of Electrical and Computer Engineering, University of California, Davis, CA 95616 USA.ORCID 0009-0009-8922-7300
Weijian YangThe authors are with the Department of Electrical and Computer Engineering, University of California, Davis, CA 95616 USA.ORCID 0000-0003-0941-3496

Funding

Synthetic mesoscope to image large-scale neural activity with near-single-cell resolution in freely-behaving animalsR01NS133924 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Xuexin Wei, Weijian Yang · 2024 to 2026
$1.6M
Synthetic imager to record cortical neural activity over whole cranium in freely-behaving animalsR21EY029472 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YANG, WEIJIAN · 2018 to 2019
$453k
NEI NIH HHS R21 EY029472NINDS NIH HHS R01 NS133924
6 · The paper itself

Abstract

Mask-based integrated microscopy represents a powerful computational imaging paradigm, enabling 3D imaging over a large field of view within a thin device footprint. This architecture leverages a thin optical mask to encode object information onto a camera sensor placed in close proximity. A major challenge in this field is to maintain high reconstruction quality amid low signal-to-background ratios, while simultaneously reducing computational requirements to allow for larger reconstruction volumes. Here, we describe a significant breakthrough in this area: DeepInMiniscope, a system featuring a highly scalable reconstruction algorithm for high-quality imaging over large 3D volumes. We detail the joint development of the hardware and reconstruction algorithms that enable this high-quality, efficient, and robust imaging framework, and present its capability to record neural activity in the mouse brain with near-cellular resolution. DeepInMiniscope represents a key step towards large-scale, 3D functional recording in freely-behaving animals.

Indexed as

3D imagingcalcium imagingcomputational imaginghead-mountedintegrated imaginglensless imagingmask-based imagingminiaturized microscopeminiscopevolumetric imaging

Identifiers

PMID42559530
PMCPMC13441255

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.