Evidence map›Paper›PMID 34737265›Full record

ArticleLight, science & applications2021

Mirror-enhanced scanning light-field microscopy for long-term high-speed 3D imaging with isotropic resolution.

Bo Xiong, Tianyi Zhu, Yuhan Xiang, Xiaopeng Li, Jinqiang Yu, Zheng Jiang, Yihan Niu, Dong Jiang, Xu Zhang, Lu Fang and 2 more

Abstract read
In one paragraph

Article in Light, science & applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Ultra-fast light-field microscopy with event detection.Light, science & applications · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

12 authors.

Bo Xiong *Department of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-7815-3603
Tianyi Zhu *Department of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-8192-6304
Yuhan XiangState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Xiaopeng LiState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Jinqiang YuState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Zheng JiangState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Yihan NiuDepartment of Automation, Tsinghua University, Beijing, 100084, China.
Dong JiangState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Xu ZhangBeijing Institute of Collaborative Innovation, Beijing, 100094, China.
Lu FangInstitute for Brain and Cognitive Sciences, Tsinghua University, Beijing, 100084, China. fanglu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3552-0367
Jiamin WuDepartment of Automation, Tsinghua University, Beijing, 100084, China. wujiamin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3479-1026
Qionghai DaiDepartment of Automation, Tsinghua University, Beijing, 100084, China. daiqh@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7043-3061

Funding

China Postdoctoral Science Foundation 2019M660644National Natural Science Foundation of China (National Science Foundation of China) 61927802National Natural Science Foundation of China (National Science Foundation of China) 62071272National Natural Science Foundation of China (National Science Foundation of China) 62088102
6 · The paper itself

Abstract

Various biological behaviors can only be observed in 3D at high speed over the long term with low phototoxicity. Light-field microscopy (LFM) provides an elegant compact solution to record 3D information in a tomographic manner simultaneously, which can facilitate high photon efficiency. However, LFM still suffers from the missing-cone problem, leading to degraded axial resolution and ringing effects after deconvolution. Here, we propose a mirror-enhanced scanning LFM (MiSLFM) to achieve long-term high-speed 3D imaging at super-resolved axial resolution with a single objective, by fully exploiting the extended depth of field of LFM with a tilted mirror placed below samples. To establish the unique capabilities of MiSLFM, we performed extensive experiments, we observed various organelle interactions and intercellular interactions in different types of photosensitive cells under extremely low light conditions. Moreover, we demonstrated that superior axial resolution facilitates more robust blood cell tracking in zebrafish larvae at high speed.

Identifiers

PMID34737265
PMCPMC8568963

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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.