Evidence map›Paper›PMID 34974261›Full record

ArticleBiosensors & bioelectronics2022

Natural killer cell detection, quantification, and subpopulation identification on paper microfluidic cell chromatography using smartphone-based machine learning classification.

Ryan Zenhausern, Alexander S Day, Babak Safavinia, Seungmin Han, Paige E Rudy, Young-Wook Won, Jeong-Yeol Yoon

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 25 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

7 authors at 1 institution in 1 country.

Ryan ZenhausernDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Alexander S DayDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Babak SafaviniaDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Seungmin HanDepartment of Surgery, The University of Arizona College of Medicine, Tucson, AZ, 85721, United States.
Paige E RudyDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Young-Wook WonDepartment of Surgery, The University of Arizona College of Medicine, Tucson, AZ, 85721, United States.
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States. Electronic address: jyyoon@arizona.edu.
University of Arizona · US

Funding

Cardiovascular Biomedical Engineering Training GrantT32HL007955 · NHLBI · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2001 to 2020
$5.1M
Targeted Systemic Delivery of SDF-1 DNA for the Treatment of Chronic Heart DiseaseR01HL138242 · NHLBI · UNIVERSITY OF NORTH TEXAS · PI WON, YOUNG-WOOK · 2017 to 2021
$2.3M
NHLBI NIH HHS R01 HL138242NHLBI NIH HHS T32 HL007955
6 · The paper itself

Abstract

Natural killer (NK) cells are immune cells that defend against viral infections and cancer and are used in cancer immunotherapies. Subpopulations of NK cells include CD56

Indexed as

Biosensing TechniquesMicrofluidicsCD56 AntigenChromatographyFlow CytometryKiller Cells, NaturalMachine LearningSmartphoneCD56 AntigenCD56IL-2NK cell therapyRandom forest machine learningSmartphone fluorescence microscope

Identifiers

PMID34974261
PMCPMC8766938
OpenAlexW4200616895

What OpenQuestion holds

Textmetadata
LicenceTDM
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.