Evidence map›Paper›PMID 30970020›Full record

ArticlePloS one2019

Simple ultraviolet microscope using off-the-shelf components for point-of-care diagnostics.

Cynthia Wong, Michal E Pawlowski, Tomasz S Tkaczyk

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Cynthia WongDepartment of Bioengineering, Rice University, Houston, Texas, United States of America.
Michal E PawlowskiDepartment of Bioengineering, Rice University, Houston, Texas, United States of America.
Tomasz S TkaczykDepartment of Bioengineering, Rice University, Houston, Texas, United States of America.ORCID 0000-0001-7153-3312
Rice University · US

Funding

Adaptive Miniature Microscopy Platform for High Throughput Biological ImagingR21EB016832 · NIBIB · RICE UNIVERSITY · PI TKACZYK, TOMASZ S · 2014 to 2015
$417k
NIBIB NIH HHS R21 EB016832
6 · The paper itself

Abstract

At the primary care setting, where there are often no or minimal laboratories, examinations often consist of self-testing and rapid diagnostics. Because of this, medical devices must be simple, robust, and easy to operate. To address these concerns, an alternate fluorescence microscope design uses ultraviolet (UV) excitation, since fluorescent dyes that are excitable in the visible region are also excitable by UV. This may allow for the removal of typical excitation, emission, and dichroic filters as optical components absorb UV wavelengths and UV is not detected by silicon based detectors. Additionally, UV has a very low penetration into samples, which may allow for controlling the depth of excitation, and thus the imaging volume. Based on these ideas, we developed a simple fluorescence microscope built completely from off-the-shelf components that uses UV to image fluorescently stained samples. The simple opto-mechanical design of the system may allow it to be more compact and easy to use, as well as decrease the overall cost of the diagnostic device. For biological validation, we imaged whole blood stained with acridine orange and performed a two-part white blood cell differential count.

Indexed as

Leukocyte CountPoint-of-Care SystemsFluorescent DyesHumansLeukocytesMicroscopy, FluorescenceMicroscopy, UltravioletOptical DevicesFluorescent Dyes

Identifiers

PMID30970020
PMCPMC6457486
OpenAlexW2919035815

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.