Evidence map›Paper›PMID 40862961›Full record

ArticleBiosensors2025

Target-Guided Droplet Routing on MEDA Biochips Considering Shape-Dependent Velocity Models and Droplet Splitting.

Yuta Hamachiyo, Chiharu Shiro, Hiroki Nishikawa, Hiroyuki Tomiyama, Shigeru Yamashita

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yuta HamachiyoGraduate School of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.
Chiharu ShiroGraduate School of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.
Hiroki NishikawaGraduate School of Information Science and Technology, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0002-9626-0944
Hiroyuki TomiyamaGraduate School of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.
Shigeru YamashitaCollege of Information Science and Engineering, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0002-2279-4644

Funding

Japan Society for the Promotion of Science KAKENHI 23K20378
6 · The paper itself

Abstract

In recent years, digital microfluidic biochips (DMFBs), based on microfluidic technology, have attracted attention as compact and flexible experimental devices. DMFBs are widely applied in biochemistry and medical fields, including point-of-care clinical diagnostics and PCR testing. Among them, micro electrode dot array (MEDA) biochips, composed of numerous microelectrodes, have overcome the limitations of conventional chips by enabling finer droplet manipulation and real-time sensing, thus significantly improving experimental efficiency. While various studies have been conducted to enhance the utilization of MEDA biochips, few have considered the shape-dependent velocity characteristics of droplets in routing. Moreover, methods that do take such characteristics into account often face significant challenges in solving time. This study proposes a fast droplet routing method for MEDA biochips that incorporates shape-dependent velocity characteristics by utilizing the distance information to the target cell. The experimental results demonstrate that the proposed method achieves approximately a 67.5% reduction in solving time compared to existing methods, without compromising solution quality.

Indexed as

Biosensing TechniquesMicrofluidic Analytical TechniquesLab-On-A-Chip DevicesMicroelectrodesMicrofluidicsbiochipsdigital microfluidicsdroplet routingmathematical programming problemMEDA

Identifiers

PMID40862961
PMCPMC12385115

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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.