Evidence map›Paper›PMID 24586978›Full record

ArticlePloS one2014

Imaging and identification of waterborne parasites using a chip-scale microscope.

Seung Ah Lee, Jessey Erath, Guoan Zheng, Xiaoze Ou, Phil Willems, Daniel Eichinger, Ana Rodriguez, Changhuei Yang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 40 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

8 authors at 3 institutions in 1 country.

Seung Ah LeeDepartment of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America.
Jessey ErathDepartment of Microbiology, Division of Medical Parasitology, New York University School of Medicine, New York, New York, United States of America.
Guoan ZhengDepartment of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America ; ePetri Inc., Pasadena, California, United States of America.
Xiaoze OuDepartment of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America.
Phil WillemsePetri Inc., Pasadena, California, United States of America.
Daniel EichingerDepartment of Microbiology, Division of Medical Parasitology, New York University School of Medicine, New York, New York, United States of America.
Ana RodriguezDepartment of Microbiology, Division of Medical Parasitology, New York University School of Medicine, New York, New York, United States of America.
Changhuei YangDepartment of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America ; ePetri Inc., Pasadena, California, United States of America ; Department of Bioengineering, California Institute of Technology Pasadena, California, United States of America.
California Institute of Technology · USNew York University · USCalifornia Liver Research Institute · US

Funding

Multiplex fluorescence optofluidic microscopy for diagnosis of enteric parasitesR01AI096226 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI YANG, CHANGHUEI · 2011 to 2015
$5.8M
NIAID NIH HHS 1R01AI096226-01NIAID NIH HHS R01 AI096226
6 · The paper itself

Abstract

We demonstrate a compact portable imaging system for the detection of waterborne parasites in resource-limited settings. The previously demonstrated sub-pixel sweeping microscopy (SPSM) technique is a lens-less imaging scheme that can achieve high-resolution (<1 µm) bright-field imaging over a large field-of-view (5.7 mm×4.3 mm). A chip-scale microscope system, based on the SPSM technique, can be used for automated and high-throughput imaging of protozoan parasite cysts for the effective diagnosis of waterborne enteric parasite infection. We successfully imaged and identified three major types of enteric parasite cysts, Giardia, Cryptosporidium, and Entamoeba, which can be found in fecal samples from infected patients. We believe that this compact imaging system can serve well as a diagnostic device in challenging environments, such as rural settings or emergency outbreaks.

Indexed as

Lab-On-A-Chip DevicesAnimalsCryptosporidiosisCryptosporidiumCystsDiagnostic ImagingEntamoebaEntamoebiasisGiardiaGiardiasisHumansMicroscopyParasitic DiseasesWater Microbiology

Identifiers

PMID24586978
PMCPMC3935895
OpenAlexW2058868358

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.