Evidence map›Paper›PMID 28952524›Full record

ArticleBioengineering (Basel, Switzerland)2017

OpenDrop: An Integrated Do-It-Yourself Platform for Personal Use of Biochips.

Mirela Alistar, Urs Gaudenz

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
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  3. Orchestrating Self-Replication in Artificial Cells with Digital Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2025
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  17. Mobile Microfluidics.Bioengineering (Basel, Switzerland) · 2019
    Review
  18. 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

2 authors.

Mirela AlistarGaudi Labs, Lucern 6003, Switzerland. mirela.alistar@gmail.com.
Urs GaudenzGaudi Labs, Lucern 6003, Switzerland. info@gaudi.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochips, or digital labs-on-chip, are developed with the purpose of being used by laboratory technicians or biologists in laboratories or clinics. In this article, we expand this vision with the goal of enabling everyone, regardless of their expertise, to use biochips for their own personal purposes. We developed OpenDrop, an integrated electromicrofluidic platform that allows users to develop and program their own bio-applications. We address the main challenges that users may encounter: accessibility, bio-protocol design and interaction with microfluidics. OpenDrop consists of a do-it-yourself biochip, an automated software tool with visual interface and a detailed technique for at-home operations of microfluidics. We report on two years of use of OpenDrop, released as an open-source platform. Our platform attracted a highly diverse user base with participants originating from maker communities, academia and industry. Our findings show that 47% of attempts to replicate OpenDrop were successful, the main challenge remaining the assembly of the device. In terms of usability, the users managed to operate their platforms at home and are working on designing their own bio-applications. Our work provides a step towards a future in which everyone will be able to create microfluidic devices for their personal applications, thereby democratizing parts of health care.

Indexed as

design automationdo-it-yourself biologydroplet microfluidicselectromicrofluidicslab-on-a chipopen source hardware

Identifiers

PMID28952524
PMCPMC5590459
OpenAlexW2616585943

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.