Evidence map›Paper›PMID 34504902›Full record

ArticleOptica2019

Video-rate large-scale imaging with Multi-Z confocal microscopy.

Amaury Badon, Seth Bensussen, Howard J Gritton, Mehraj R Awal, Christopher V Gabel, Xue Han, Jerome Mertz

Abstract read
In one paragraph

Article in Optica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Resolution enhancement with deblurring by pixel reassignment (DPR).bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Article
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  12. Article
  13. Article
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  15. Article
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  17. Article
  18. Article
  19. Article
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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

7 authors.

Amaury BadonDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.ORCID 0000-0002-1963-0075
Seth BensussenDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
Howard J GrittonDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
Mehraj R AwalDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston, Massachusetts 02218, USA.
Christopher V GabelDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston, Massachusetts 02218, USA.
Xue HanDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
Jerome MertzDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.ORCID 0000-0002-6343-9155

Funding

High dynamic range multiphoton microscopy for large-scale imagingR21EY027549 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DAVISON, IAN GORDON, MERTZ, JEROME · 2016 to 2018
$575k
NEI NIH HHS R21 EY027549
6 · The paper itself

Abstract

Fast, volumetric imaging over large scales has been a long-standing challenge in biological microscopy. To address this challenge, we report an augmented variant of confocal microscopy that uses a series of reflecting pinholes axially distributed in the detection space, such that each pinhole probes a different depth within the sample. We thus obtain simultaneous multiplane imaging without the need for axial scanning. Our microscope technique is versatile and configured here to provide two-color fluorescence imaging with a field of view larger than a millimeter at video rate. Its general applicability is demonstrated with neuronal imaging of both

Identifiers

PMID34504902
PMCPMC8425499

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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.