Evidence map›Paper›PMID 31754152›Full record

ArticleScientific reports2019

The Use of Motion Analysis as Particle Biomarkers in Lensless Optofluidic Projection Imaging for Point of Care Urine Analysis.

Jessica Kun, Marek Smieja, Bo Xiong, Leyla Soleymani, Qiyin Fang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jessica KunSchool of Biomedical Engineering, McMaster University, Hamilton, ON, Canada.
Marek SmiejaDepartment of Pathology and Laboratory Medicine, McMaster University, Hamilton, ON, Canada.
Bo XiongSchool of Biomedical Engineering, McMaster University, Hamilton, ON, Canada.
Leyla SoleymaniSchool of Biomedical Engineering, McMaster University, Hamilton, ON, Canada.
Qiyin FangSchool of Biomedical Engineering, McMaster University, Hamilton, ON, Canada. qiyin.fang@mcmaster.ca.ORCID http://orcid.org/0000-0003-2786-9884
McMaster University · CA

Funding

CIHR
6 · The paper itself

Abstract

Urine testing is an essential clinical diagnostic tool. The presence of urine sediments, typically analyzed through microscopic urinalysis or cell culture, can be indicative of many diseases, including bacterial, parasitic, and yeast infections, as well as more serious conditions like bladder cancer. Current urine analysis diagnostic methods are usually centralized and limited by high cost, inconvenience, and poor sensitivity. Here, we developed a lensless projection imaging optofluidic platform with motion-based particle analysis to rapidly detect urinary constituents without the need for concentration or amplification through culture. A removable microfluidics channel ensures that urine samples do not cross contaminate and the lens-free projection video is captured and processed by a low-cost integrated microcomputer. A motion tracking and analysis algorithm is developed to identify and track moving objects in the flow. Their motion characteristics are used as biomarkers to detect different urine species in near real-time. The results show that this technology is capable of detection of red and white blood cells, Trichomonas vaginalis, crystals, casts, yeast and bacteria. This cost-effective device has the potential to be implemented for timely, point-of-care detection of a wide range of disorders in hospitals, clinics, long-term care homes, and in resource-limited regions.

Indexed as

AlgorithmsBiomarkersDiagnostic Tests, RoutineFlow CytometryHumansLab-On-A-Chip DevicesMicrofluidicsMicroscopyPoint-of-Care SystemsPoint-of-Care TestingSensitivity and SpecificityUrinalysisUrineBiomarkers

Identifiers

PMID31754152
PMCPMC6872526
OpenAlexW2990684474

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.