Evidence map›Paper›PMID 29296487›Full record

ArticleBiomedical optics express2017

Improved contrast in inverted selective plane illumination microscopy of thick tissues using confocal detection and structured illumination.

Bihe Hu, Daniel Bolus, J Quincy Brown

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Bihe HuDepartment of Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA 70118, USA.
Daniel BolusDepartment of Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA 70118, USA.
J Quincy BrownDepartment of Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA 70118, USA.

Funding

Improving biospecimen quality by verifying adequacy at the point-of-acquisition with ex vivo structured illumination microscopyR33CA196457 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI BROWN, JONATHAN QUINCY · 2015 to 2017
$946k
NCI NIH HHS R33 CA196457
6 · The paper itself

Abstract

Inverted selective plane illumination microscopy (iSPIM) enables fast, large field-of-view, long term imaging with compatibility with conventional sample mounting. However, the imaging quality can be deteriorated in thick tissues due to sample scattering. Three strategies have been adopted in this paper to optimize the imaging performance of iSPIM on thick tissue imaging: electronic confocal slit detection (eCSD), structured illumination (SI) and the two combined. We compared the image contrast when using SPIM, confocal SPIM (using eCSD alone), SI SPIM (using SI alone) or confocal-SI SPIM (combining both methods) on images of gelatin phantom and highly-scattering fluorescently-stained human tissue. We demonstrate that all the three methods showed remarkable contrast enhancement on both samples compared to iSPIM alone, and SI SPIM and the combined confocal-SI mode outperformed confocal SPIM in contrast enhancement. Moreover, the use of SI at high pattern frequencies outperformed confocal SPIM in terms of optical sectioning capability. However, image signal-to-noise ratio (SNR) was decreased at high pattern frequencies when imaging scattering samples with SI SPIM. By combining eCSD with SI to reduce background signal and noise, the superior optical sectioning performance of SI could be achieved while also maintaining high image SNR.

Indexed as

(110.0113) Imaging through turbid media(170.2520) Fluorescence microscopy(170.3880) Medical and biological imaging(170.5810) Scanning microscopy

Identifiers

PMID29296487
PMCPMC5745102

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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.