Evidence map›Paper›PMID 40936442›Full record

ArticleLab on a chip2025

Size-independent and automated single-colony-resolution microdroplet dispensing.

Haemin Jung, Han Zhang, Jacob Hooper, Can Huang, Rohit Gupte, Adrian Guzman, Jeong Jae Han, Arum Han

Abstract read
In one paragraph

Article in Lab on a chip, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Haemin JungDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA. arum.han@ece.tamu.edu.ORCID 0000-0001-5441-1663
Han ZhangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA. arum.han@ece.tamu.edu.ORCID 0000-0002-9991-9409
Jacob HooperDepartment of Epidemiology, Texas A&M University, College Station, Texas 77843, USA.
Can HuangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA. arum.han@ece.tamu.edu.ORCID 0000-0002-3675-6585
Rohit GupteDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Adrian GuzmanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA. arum.han@ece.tamu.edu.
Jeong Jae HanDepartment of Multidisciplinary Engineering, Texas A&M University, College Station, TX 77843, USA.
Arum HanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA. arum.han@ece.tamu.edu.

Funding

Development of a High-Throughput Microfluidics-Enabled Functional Assay for Rapidly Identifying Neutralizing AntibodiesR01AI141607 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI DE FIGUEIREDO, PAUL, HAN, ARUM · 2019 to 2023
$3.4M
GUARD: A global unbiased antimicrobial discovery platformR01AI168685 · NIAID · TEXAS ENGINEERING EXPERIMENT STATION · PI ARUL JAYARAMAN · 2023 to 2026
$3.0M
Accelerating discovery of neutralizing paratopes with Functional Antibody Screening TechnologyR21AI139738 · NIAID · TEXAS A&M UNIVERSITY · PI HAN, ARUM · 2020 to 2021
$415k
Army Research Office W911NF-19-1-0290Defense Advanced Research Projects Agency HR00112320006Defense Advanced Research Projects Agency W911NF1920013NIAID NIH HHS R01 AI141607NIAID NIH HHS R01 AI168685NIAID NIH HHS R21 AI139738
6 · The paper itself

Abstract

Droplet microfluidics-based high-throughput screening (HTS) has proven to be an effective method for rapidly analyzing broad ranges of biological samples, such as cell libraries. However, the final step of the droplet microfluidics-based screening workflow, which is to dispense the sorted "hit" droplets to off-chip, ideally one "hit" droplet at a time, is prone to high error, especially when droplet size variation is present. Such size variations, often unavoidable in complex multi-step droplet microfluidics assay, lead to variations in droplet transition speed as they flow towards the dispensing tip, where smaller droplets move faster than larger droplets within a microchannel. Such difference in transit speed causes simultaneous dispensing of multiple droplets at a time instead of single-droplet dispensing, resulting in "hit" cells in a dispensed droplet being mixed with those from another "hit" droplet. To address this challenge, an approach that uses blank spacing droplets as physical barriers between "hit" droplets so that "hit" droplet-to-droplet distance remains the same throughout the droplet transition process is proposed here. These blank droplets (up to 1000) and a single "hit" droplet flow out of the droplet dispensing tip, forming a "drip", which is then dispensed one "drip" at a time into a well of a well plate or on an agar plate with sufficient drip-to-drip distance. This method of mixing empty droplets with "hit" droplets, combined with an off-the-shelf distance sensor that detects the formation of a "drip", which then moves the dispensing plate upward using a linear motor for the formed "drip" to be dispensed, enables precise and automated single-drip (

Indexed as

High-Throughput Screening AssaysLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesAutomationEquipment DesignEscherichia coliParticle Size

Identifiers

PMID40936442
PMCPMC12426752

What OpenQuestion holds

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LicenceCC BY-NC
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.