Evidence map›Paper›PMID 28056142›Full record

ArticleJournal of biomedical optics2017

Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation.

Matthew S Graus, Aaron K Neumann, Jerilyn A Timlin

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 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
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  10. Protein-Protein Interactions inFrontiers in microbiology · 2019
    Review
  11. Article
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 at 2 institutions in 1 country.

Matthew S GrausUniversity of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States.
Aaron K NeumannUniversity of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States.
Jerilyn A TimlinSandia National Laboratories, Department of Bioenergy and Defense Technologies, P. O. Box 5800, MS 0895, Albuquerque, New Mexico 87185, United States.
University of New Mexico · USSandia National Laboratories · US

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
Biology of Infectious Diseases &InflammationT32AI007538 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Michelle A Ozbun · 1998 to 2026
$5.2M
Multiplexed Measurements of Protein Dynamics and Interactions at Extreme ResolutiDP2OD006673 · OD · SANDIA CORP-SANDIA NATIONAL LABORATORIES · PI TIMLIN, JERILYN · 2009 to 2009
$2.1M
Nano and Microscale Molecular Machines for Innate Immune Sensing of CandidaR01AI116894 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI NEUMANN, AARON KURT · 2015 to 2019
$1.9M
NIAID NIH HHS R01 AI116894NIAID NIH HHS T32 AI007538NIGMS NIH HHS P50 GM085273NIH HHS DP2 OD006673
6 · The paper itself

Abstract

Fungi in the Candida genus are the most common fungal pathogens. They not only cause high morbidity and mortality but can also cost billions of dollars in healthcare. To alleviate this burden, early and accurate identification of Candida species is necessary. However, standard identification procedures can take days and have a large false negative error. The method described in this study takes advantage of hyperspectral confocal fluorescence microscopy, which enables the capability to quickly and accurately identify and characterize the unique autofluorescence spectra from different Candida species with up to 84% accuracy when grown in conditions that closely mimic physiological conditions.

Indexed as

CandidaMicroscopy, FluorescenceOptical ImagingSpecies Specificity

Identifiers

PMID28056142
PMCPMC5216876
OpenAlexW2569476170

What OpenQuestion holds

Textmetadata
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.