Evidence map›Paper›PMID 36367139›Full record

ArticleLab on a chip2022

Rapid parallel generation of a fluorescently barcoded drop library from a microtiter plate using the plate-interfacing parallel encapsulation (PIPE) chip.

Geoffrey K Zath, Ralph A Sperling, Carter W Hoffman, Dimitri A Bikos, Reha Abbasi, Adam R Abate, David A Weitz, Connie B Chang

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Droplet-Based Microfluidics Methods for Detecting Enzyme Inhibitors.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. 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

8 authors at 3 institutions in 2 countries.

Geoffrey K ZathCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA. conniebchang@gmail.com.ORCID 0000-0001-7870-9034
Ralph A SperlingDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Carter W HoffmanCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA. conniebchang@gmail.com.ORCID 0000-0002-6391-2555
Dimitri A BikosCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA. conniebchang@gmail.com.ORCID 0000-0002-2945-0844
Reha AbbasiCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA. conniebchang@gmail.com.ORCID 0000-0001-6240-2097
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.ORCID 0000-0001-9614-4831
David A WeitzDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-6678-5208
Connie B ChangCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA. conniebchang@gmail.com.ORCID 0000-0001-9555-8223
Montana State University · USHarvard University · USUniversity of California, San Francisco · US

Funding

High-Throughput, Massively Parallel Antimicrobial Resistance Surveillance Using Drop-Based MicrofluidicsR21AI151923 · NIAID · MONTANA STATE UNIVERSITY - BOZEMAN · PI CHANG, CONNIE B · 2021 to 2022
$405k
NIAID NIH HHS R21 AI151923
6 · The paper itself

Abstract

In drop-based microfluidics, an aqueous sample is partitioned into drops using individual pump sources that drive water and oil into a drop-making device. Parallelization of drop-making devices is necessary to achieve high-throughput screening of multiple experimental conditions, especially in time-sensitive studies. Here, we present the plate-interfacing parallel encapsulation (PIPE) chip, a microfluidic chip designed to generate 50 to 90 μm diameter drops of up to 96 different conditions in parallel by interfacing individual drop makers with a standard 384-well microtiter plate. The PIPE chip is used to generate two types of optically barcoded drop libraries consisting of two-color fluorescent particle combinations: a library of 24 microbead barcodes and a library of 192 quantum dot barcodes. Barcoded combinations in the drop libraries are rapidly measured within a microfluidic device using fluorescence detection and distinct barcoded populations in the fluorescence drop data are identified using DBSCAN data clustering. Signal analysis reveals that particle size defines the source of dominant noise present in the fluorescence intensity distributions of the barcoded drop populations, arising from Poisson loading for microbeads and shot noise for quantum dots. A barcoded population from a drop library is isolated using fluorescence-activated drop sorting, enabling downstream analysis of drop contents. The PIPE chip can improve multiplexed high-throughput assays by enabling simultaneous encapsulation of barcoded samples stored in a microtiter plate and reducing sample preparation time.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsGene LibraryHigh-Throughput Screening AssaysLab-On-A-Chip DevicesOligonucleotide Array Sequence Analysis

Identifiers

PMID36367139
PMCPMC10016142
OpenAlexW4308767940

What OpenQuestion holds

Textmetadata
LicenceTDM
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.