Evidence map›Paper›PMID 28651016›Full record

ArticlePloS one2017

Enhanced light microscopy visualization of virus particles from Zika virus to filamentous ebolaviruses.

George G Daaboul, David S Freedman, Steven M Scherr, Erik Carter, Alexandru Rosca, David Bernstein, Chad E Mire, Krystle N Agans, Thomas Hoenen, Thomas W Geisbert and 2 more

Open access · goldAbstract readEvaluation StudyValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

George G DaaboulnanoView Diagnostics Inc., Boston, MA, United States of America.
David S FreedmannanoView Diagnostics Inc., Boston, MA, United States of America.
Steven M ScherrDepartment of Mechanical Engineering, Boston University, Boston, MA, United States of America.
Erik CarterDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Alexandru RoscananoView Diagnostics Inc., Boston, MA, United States of America.
David BernsteinnanoView Diagnostics Inc., Boston, MA, United States of America.
Chad E MireGalveston National Laboratory, Galveston, TX, United States of America.
Krystle N AgansGalveston National Laboratory, Galveston, TX, United States of America.
Thomas HoenenLaboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, United States of America.
Thomas W GeisbertGalveston National Laboratory, Galveston, TX, United States of America.
M Selim ÜnlüDepartment of Electrical Engineering, Boston University, Boston, MA, United States of America.
John H ConnorDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Boston University · USGalveston College · USFriedrich-Loeffler-Institut · DEThe University of Texas Medical Branch at Galveston · US

Funding

Combined Viral Load and Ultrasensitive Serology Panel for Rapid Ebola DiagnosticsR43AI118254 · NIAID · NEXGEN ARRAYS, LLC · PI FREEDMAN, DAVID SCOTT · 2015 to 2015
$224k
NIAID NIH HHS R43 AI118254
6 · The paper itself

Abstract

Light microscopy is a powerful tool in the detection and analysis of parasites, fungi, and prokaryotes, but has been challenging to use for the detection of individual virus particles. Unlabeled virus particles are too small to be visualized using standard visible light microscopy. Characterization of virus particles is typically performed using higher resolution approaches such as electron microscopy or atomic force microscopy. These approaches require purification of virions away from their normal millieu, requiring significant levels of expertise, and can only enumerate small numbers of particles per field of view. Here, we utilize a visible light imaging approach called Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS) that allows automated counting and sizing of thousands of individual virions. Virions are captured directly from complex solutions onto a silicon chip and then detected using a reflectance interference imaging modality. We show that the use of different imaging wavelengths allows the visualization of a multitude of virus particles. Using Violet/UV illumination, the SP-IRIS technique is able to detect individual flavivirus particles (~40 nm), while green light illumination is capable of identifying and discriminating between vesicular stomatitis virus and vaccinia virus (~360 nm). Strikingly, the technology allows the clear identification of filamentous infectious ebolavirus particles and virus-like particles. The ability to differentiate and quantify unlabeled virus particles extends the usefulness of traditional light microscopy and can be embodied in a straightforward benchtop approach allowing widespread applications ranging from rapid detection in biological fluids to analysis of virus-like particles for vaccine development and production.

Indexed as

AnimalsEbolavirusEquipment DesignHumansMicroscopy, Electron, ScanningMicroscopy, InterferenceMicroscopy, UltravioletVaccinia virusVesiculovirusVirionZika Virus

Identifiers

PMID28651016
PMCPMC5484481
OpenAlexW2684501113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.