Evidence map›Paper›PMID 37015136›Full record

ArticleIEEE transactions on biomedical circuits and systems2023

Tutorial on Lateral Dielectrophoretic Manipulations in Microfluidic Systems.

Can Huang, Song-I Han, Han Zhang, Arum Han

Abstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Can Huang
Song-I Han
Han Zhang
Arum Han

Funding

Development of a High-Throughput Microfluidics-Enabled Functional Assay for Rapidly Identifying Neutralizing AntibodiesR01AI141607 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI DE FIGUEIREDO, PAUL, HAN, ARUM · 2019 to 2023
$3.4M
Accelerating discovery of neutralizing paratopes with Functional Antibody Screening TechnologyR21AI139738 · NIAID · TEXAS A&M UNIVERSITY · PI HAN, ARUM · 2020 to 2021
$415k
NIAID NIH HHS R01 AI141607NIAID NIH HHS R21 AI139738
6 · The paper itself

Abstract

Microfluidic lab-on-a-chip systems can offer cost- and time-efficient biological assays by providing high-throughput analysis at very small volume scale. Among these extremely broad ranges of assays, accurate and specific cell and reagent control is considered one of the most important functions. Dielectrophoretic (DEP)-based manipulation technologies have been extensively developed for these purposes due to their label-free and high selectivity natures as well as due to their simple microstructures. Here, we provide a tutorial on how to develop DEP-based microfluidic systems, including a detailed walkthrough of dielectrophoresis theory, instruction on how to conduct simulation and calculation of electric field and generated DEP force, followed with guidance on microfabricating two forms of DEP microfluidic systems, namely lateral DEP and droplet DEP, and how best to conduct experiments in such systems. Finally, we summarize most recent DEP-based microfluidic technologies and applications, including systems for blood diagnoses, pathogenicity studies, in-droplet content manipulations, droplet manipulations and merging, to name a few. We conclude by suggesting possible future directions on how DEP-based technologies can be utilized to overcome current challenges and improve the current status in microfluidic lab-on-a-chip systems.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsElectrophoresisEquipment DesignLab-On-A-Chip Devices

Identifiers

PMID37015136
PMCPMC10091972

What OpenQuestion holds

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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.