Evidence map›Paper›PMID 31993126›Full record

ArticleLight, science & applications2020

Parallelized volumetric fluorescence microscopy with a reconfigurable coded incoherent light-sheet array.

Yu-Xuan Ren, Jianglai Wu, Queenie T K Lai, Hei Ming Lai, Dickson M D Siu, Wutian Wu, Kenneth K Y Wong, Kevin K Tsia

Abstract read
In one paragraph

Article in Light, science & applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  4. In vivo three-dimensional brain imaging with chemiluminescence probes in Alzheimer's disease models.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

8 authors.

Yu-Xuan Ren *1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.ORCID 0000-0002-4641-3148
Jianglai Wu *1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.
Queenie T K Lai *1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.
Hei Ming Lai3School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR 999077 China.
Dickson M D Siu1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.
Wutian Wu3School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR 999077 China.
Kenneth K Y Wong1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.ORCID 0000-0003-3668-3539
Kevin K Tsia1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077 China.ORCID 0000-0002-6394-9657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parallelized fluorescence imaging has been a long-standing pursuit that can address the unmet need for a comprehensive three-dimensional (3D) visualization of dynamical biological processes with minimal photodamage. However, the available approaches are limited to incomplete parallelization in only two dimensions or sparse sampling in three dimensions. We hereby develop a novel fluorescence imaging approach, called coded light-sheet array microscopy (CLAM), which allows complete parallelized 3D imaging without mechanical scanning. Harnessing the concept of an "infinity mirror", CLAM generates a light-sheet array with controllable sheet density and degree of coherence. Thus, CLAM circumvents the common complications of multiple coherent light-sheet generation in terms of dedicated wavefront engineering and mechanical dithering/scanning. Moreover, the encoding of multiplexed optical sections in CLAM allows the synchronous capture of all sectioned images within the imaged volume. We demonstrate the utility of CLAM in different imaging scenarios, including a light-scattering medium, an optically cleared tissue, and microparticles in fluidic flow. CLAM can maximize the signal-to-noise ratio and the spatial duty cycle, and also provides a further reduction in photobleaching compared to the major scanning-based 3D imaging systems. The flexible implementation of CLAM regarding both hardware and software ensures compatibility with any light-sheet imaging modality and could thus be instrumental in a multitude of areas in biological research.

Indexed as

BiophotonicsLight-sheet microscopy

Identifiers

PMID31993126
PMCPMC6971027

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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.