Evidence map›Paper›PMID 37867645›Full record

ArticleACS omega2023

OpenDEP: An Open-Source Platform for Dielectrophoresis Spectra Acquisition and Analysis.

Ioan Tivig, Mihaela Georgeta Moisescu, Tudor Savopol

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. 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
0.7field-weighted citation impact, top 35% 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, 6 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

3 authors at 1 institution in 1 country.

Ioan TivigBiophysics and Cellular Biotechnology Department, Excellence Center for Research in Biophysics and Cellular Biotechnology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., Bucharest 050474, Romania.
Mihaela Georgeta MoisescuBiophysics and Cellular Biotechnology Department, Excellence Center for Research in Biophysics and Cellular Biotechnology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., Bucharest 050474, Romania.ORCID https://orcid.org/0000-0003-0017-6180
Tudor SavopolBiophysics and Cellular Biotechnology Department, Excellence Center for Research in Biophysics and Cellular Biotechnology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., Bucharest 050474, Romania.ORCID https://orcid.org/0000-0001-7231-3581
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dielectrophoretic (DEP) cell separation, which utilizes electric fields to selectively manipulate and separate cells based on their electrical properties, has emerged as a cutting-edge label-free technique. DEP separation techniques rely on differences in the electrical and morphological properties of cells, which can be obtained by a thorough analysis of DEP spectra. This article presents a novel platform, named OpenDEP, for acquiring and processing DEP spectra of suspended cells. The platform consists of lab-on-a-chip and open-source software that enables the determination of DEP spectra and electric parameters. The performance of OpenDEP was validated by comparing the results obtained using this platform with the results obtained using a commercially available device, 3DEP from DEPtech. The lab-on-a-chip design features two indium tin oxide-coated slides with a specific geometry, forming a chamber where cells are exposed to an inhomogeneous alternating electric field with different frequencies, and microscopic images of cell distributions are acquired. A custom-built software written in the Python programing language was developed to convert the acquired images into DEP spectra, allowing for the estimation of membrane and cytoplasm conductivities and permittivities. The platform was validated using two cell lines, DC3F and NIH 3T3. The OpenDEP platform offers several advantages, including easy manufacturing, statistically robust computations due to large cell population analysis, and a closed environment for sterile work. Furthermore, continuous observation using any microscope allows for integration with other techniques.

Identifiers

PMID37867645
PMCPMC10586268
OpenAlexW4387398281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.