Evidence map›Paper›PMID 36506462›Full record

ArticleOptica2022

Deep-learning-augmented computational miniature mesoscope.

Yujia Xue, Qianwan Yang, Guorong Hu, Kehan Guo, Lei Tian

Abstract read
In one paragraph

Article in Optica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Foveated Light-Field Compound Imager.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2024
    Article
  20. 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

5 authors.

Yujia XueDepartment of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.ORCID 0000-0003-0144-3981
Qianwan YangDepartment of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.
Guorong HuDepartment of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.
Kehan GuoDepartment of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.
Lei TianDepartment of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.ORCID 0000-0002-1316-4456

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
A Computational Miniature Mesoscope for Large-Scale Brain Mapping in Behaving MiceR21EY030016 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, DAVISON, IAN GORDON · 2019 to 2019
$495k
NEI NIH HHS R21 EY030016NINDS NIH HHS R01 NS126596
6 · The paper itself

Abstract

Fluorescence microscopy is essential to study biological structures and dynamics. However, existing systems suffer from a trade-off between field of view (FOV), resolution, and system complexity, and thus cannot fulfill the emerging need for miniaturized platforms providing micron-scale resolution across centimeter-scale FOVs. To overcome this challenge, we developed a computational miniature mesoscope (CM

Identifiers

PMID36506462
PMCPMC9731182

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Registered trials

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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.