Evidence map›Paper›PMID 31853419›Full record

ArticleBiomedical optics express2019

Hybrid light-sheet and light-field microscope for high resolution and large volume neuroimaging.

Depeng Wang, Stephen Xu, Praruj Pant, Emily Redington, Somayyeh Soltanian-Zadeh, Sina Farsiu, Yiyang Gong

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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
  5. Article
  6. Whole-brain imaging of freely-moving zebrafish.Frontiers in neuroscience · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 1 institution in 1 country.

Depeng WangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Stephen XuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Praruj PantDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Emily RedingtonDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Somayyeh Soltanian-ZadehDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Sina FarsiuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-4872-2902
Yiyang GongDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Duke University · US

Funding

Large-scale cellular-resolution voltage imaging of the zebrafish brainUF1NS107678 · NINDS · DUKE UNIVERSITY · PI GONG, YIYANG · 2018 to 2018
$1.2M
NINDS NIH HHS UF1 NS107678
6 · The paper itself

Abstract

Large scale simultaneous recording of fast patterns of neural activity remains challenging. Volumetric imaging modalities such as scanning-beam light-sheet microscopy (LSM) and wide-field light-field microscopy (WFLFM) fall short of the goal due to their complex calibration procedure, low spatial resolution, or high-photobleaching. Here, we demonstrate a hybrid light-sheet light-field microscopy (LSLFM) modality that yields high spatial resolution with simplified alignment of the imaging plane and the excitation plane. This new modality combines the selective excitation of light-sheet illumination with volumetric light-field imaging. This modality overcomes the current limitations of the scanning-beam LSM and WFLFM implementations. Compared with LSM, LSLFM captures volumetric data at a frame rate 50× lower than the rate of LSM and requires no dynamic calibration. Compared with WFLFM, LSLFM produces moderate improvements in spatial resolutions, 10 times improvement in the contrast when imaging fluorescent beads, and 3.2× the signal-to-noise ratio in the detection of neural activity when imaging live zebrafish expressing a genetically encoded calcium sensor.

Identifiers

PMID31853419
PMCPMC6913419
OpenAlexW2989882321

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.