Evidence map›Paper›PMID 29152030›Full record

ArticleBiomicrofluidics2017

Yeast cell fractionation by morphology in dilute ferrofluids.

Qi Chen, Di Li, Jessica Zielinski, Lukasz Kozubowski, Jianhan Lin, Maohua Wang, Xiangchun Xuan

Abstract read
In one paragraph

Article in Biomicrofluidics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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.

Qi Chen
Di LiDepartment of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634-0921, USA.
Jessica ZielinskiDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina 29634-0318, USA.ORCID 0000-0002-8073-8835
Lukasz KozubowskiDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina 29634-0318, USA.
Jianhan LinMOA Key Laboratory of Agricultural Information Acquisition Technology (Beijing), China Agricultural University, Beijing 10083, China.
Maohua WangMOA Key Laboratory of Agricultural Information Acquisition Technology (Beijing), China Agricultural University, Beijing 10083, China.
Xiangchun XuanDepartment of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634-0921, USA.ORCID 0000-0003-0158-4186

Funding

The role of acetate fermentation in Entamoeba histolytica growth and infectionP20GM109094 · NIGMS · CLEMSON UNIVERSITY · PI KOZUBOWSKI, LUKASZ · 2016 to 2020
$10.4M
Mechanisms of Fluconazole-Induced Aneuploidy in Cryptococcus NeoformansR15AI119801 · NIAID · CLEMSON UNIVERSITY · PI KOZUBOWSKI, LUKASZ · 2015 to 2015
$437k
NIAID NIH HHS R15 AI119801NIGMS NIH HHS P20 GM109094
6 · The paper itself

Abstract

Morphology is an important particle (both biological and synthetic) property and potentially a useful marker for label-free particle separation. We present in this work a continuous-flow morphology-based fractionation of a heterogeneous mixture of drug-treated yeast cells in dilute ferrofluids. Such a diamagnetic cell separation technique utilizes the negative magnetophoretic motion to direct pre-focused yeast cells to morphology-dependent streamlines in a laminar flow. The separation performance is evaluated by comparing the exiting positions of the four classified groups of yeast cells: Singles, Doubles, Triples, and Others. We also develop a three-dimensional numerical model to simulate the separation process by the use of the experimentally determined correction factor for each group of non-spherical cells. The determining factors in this separation are studied both experimentally and numerically, the results of which show a reasonable agreement.

Identifiers

PMID29152030
PMCPMC5680049

What OpenQuestion holds

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Registered trials

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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.