Evidence map›Paper›PMID 31501848›Full record

ArticleLab on a chip2019

Microfluidic cap-to-dispense (μCD): a universal microfluidic-robotic interface for automated pipette-free high-precision liquid handling.

Jingjing Wang, Ka Deng, Chuqing Zhou, Zecong Fang, Conary Meyer, Kaustubh Umesh-Anjali Deshpande, Zhihao Li, Xianqiang Mi, Qian Luo, Bruce D Hammock and 3 more

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. High-Throughput Experimentation Using Cell-Free Protein Synthesis Systems.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Sample-to-Answer Robotic ELISA.Analytical chemistry · 2021
    Article
  7. Review
  8. Digital droplet infusion.Lab on a chip · 2021
    Article
  9. Article
  10. Review
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

13 authors.

Jingjing WangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. yan.chen@siat.ac.cn.
Ka Deng
Chuqing Zhou
Zecong Fang
Conary Meyer
Kaustubh Umesh-Anjali Deshpande
Zhihao Li
Xianqiang Mi
Qian Luo
Bruce D Hammock
Cheemeng Tan
Yan Chen
Tingrui Pan

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI YOUNG, THOMAS MICHAEL · 1987 to 2021
$50.1M
Modeling heterogeneity of a cancer-signaling cascade using biomimetic cellsR21EB025938 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TAN, CHEEMENG · 2019 to 2021
$603k
NIBIB NIH HHS R21 EB025938NIEHS NIH HHS P42 ES004699
6 · The paper itself

Abstract

Microfluidic devices have been increasingly used for low-volume liquid handling operations. However, laboratory automation of such delicate devices has lagged behind due to the lack of world-to-chip (macro-to-micro) interfaces. In this paper, we have presented the first pipette-free robotic-microfluidic interface using a microfluidic-embedded container cap, referred to as a microfluidic cap-to-dispense (μCD), to achieve a seamless integration of liquid handling and robotic automation without any traditional pipetting steps. The μCD liquid handling platform offers a generic and modular way to connect the robotic device to standard liquid containers. It utilizes the high accuracy and high flexibility of the robotic system to recognize, capture and position; and then using microfluidic adaptive printing it can achieve high-precision on-demand volume distribution. With its modular connectivity, nanoliter processability, high adaptability, and multitask capacity, μCD shows great potential as a generic robotic-microfluidic interface for complete pipette-free liquid handling automation.

Indexed as

RoboticsAutomationBacteriaLuminescent ProteinsMicrofluidicsPlasmidsLuminescent Proteins

Identifiers

PMID31501848
PMCPMC6785371

What OpenQuestion holds

Textmetadata
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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.