ArticleApplied physics letters2024
Impedance matching in optically induced dielectrophoresis: Effect of medium conductivity on trapping force.
Article in Applied physics letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Reconfigurable assembly, disassembly, and self-propulsion of microparticles via optoelectronic tweezers.Microsystems & nanoengineering · 2026Article
- Nano calligraphy via optical electro-aligning manipulation.Microsystems & nanoengineering · 2026Article
- Optoelectronic Tweezers for Single-Cell Research: Principles, Applications, and Prospects.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- On Using Electric Circuit Models to Analyze Electric Field Distributions in Insulator-Based Electrokinetically Driven Microfluidic Devices.Micromachines · 2025Article
- Automated and collision-free navigation of multiple micro-objects in obstacle-dense microenvironments using optoelectronic tweezers.Microsystems & nanoengineering · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
An impedance analysis for optically induced dielectrophoresis is presented. A circuit model is developed for this purpose. The model parameters are fully defined in terms of the geometrical and material properties of the system. It is shown that trapping force can only be generated when the material properties follow certain impedance matching conditions. The
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Registered trials
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.