Evidence map›Paper›PMID 34532564›Full record

ArticleOptica2020

High-contrast multifocus microscopy with a single camera and z-splitter prism.

Sheng Xiao, Howard Gritton, Hua-An Tseng, Dana Zemel, Xue Han, Jerome Mertz

Abstract read
In one paragraph

Article in Optica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  12. The autism spectrum disorder risk geneFrontiers in neuroscience · 2023
    Article
  13. 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

6 authors.

Sheng XiaoDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.ORCID 0000-0001-8959-2388
Howard GrittonDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.
Hua-An TsengDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.
Dana ZemelDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.
Xue HanDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.
Jerome MertzDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, USA.ORCID 0000-0002-6343-9155

Funding

Fast, large-scale neuronal imaging with multi-z confocal microscopyR01EB029171 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MERTZ, JEROME · 2020 to 2023
$1.8M
Development of label-free computational flow cytometry for high-throughput micro-organism classificationR21GM128020 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MERTZ, JEROME · 2018 to 2019
$446k
NIBIB NIH HHS R01 EB029171NIGMS NIH HHS R21 GM128020
6 · The paper itself

Abstract

Optical microscopy has been an indispensable tool for studying complex biological systems, but is often hampered by problems of speed and complexity when performing 3D volumetric imaging. Here, we present a multifocus imaging strategy based on the use of a simple z-splitter prism that can be assembled from off-the-shelf components. Our technique enables a widefield image stack to be distributed onto a single camera and recorded simultaneously. We exploit the volumetric nature of our image acquisition by further introducing a novel extended-volume 3D deconvolution strategy to suppress far-out-of-focus fluorescence background to significantly improve the contrast of our recorded images, conferring to our system a capacity for quasi-optical sectioning. By swapping in different z-splitter configurations, we can prioritize high speed or large 3D field-of-view imaging depending on the application of interest. Moreover, our system can be readily applied to a variety of imaging modalities in addition to fluorescence, such as phase-contrast and darkfield imaging. Because of its simplicity, versatility, and performance, we believe our system will be a useful tool for general biological or biomedical imaging applications.

Identifiers

PMID34532564
PMCPMC8443084

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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.