Evidence map›Paper›PMID 31974539›Full record

ArticleLab on a chip2020

Enrichment of rare events using a multi-parameter high throughput microfluidic droplet sorter.

Sheng-Ting Hung, Srijit Mukherjee, Ralph Jimenez

Abstract read
In one paragraph

Article in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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

3 authors.

Sheng-Ting HungJILA, NIST and University of Colorado, Boulder, Colorado 80309, USA. rjimenez@jila.colorado.edu.ORCID 0000-0002-7081-2173
Srijit MukherjeeJILA, NIST and University of Colorado, Boulder, Colorado 80309, USA. rjimenez@jila.colorado.edu and Department of Chemistry, University of Colorado, Boulder, Colorado 80309, USA.ORCID 0000-0002-6439-9802
Ralph JimenezJILA, NIST and University of Colorado, Boulder, Colorado 80309, USA. rjimenez@jila.colorado.edu and Department of Chemistry, University of Colorado, Boulder, Colorado 80309, USA.ORCID 0000-0002-8989-405X

Funding

Predoctoral Training Molecular BiophysicsT32GM065103 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI FALKE, JOSEPH J · 2002 to 2021
$4.3M
NIGMS NIH HHS T32 GM065103
6 · The paper itself

Abstract

High information content analysis, enrichment, and selection of rare events from a large population are of great importance in biological and biomedical research. The fluorescence lifetime of a fluorophore, a photophysical property which is independent of and complementary to fluorescence intensity, has been incorporated into various imaging and sensing techniques through microscopy, flow cytometry and droplet microfluidics. However, the throughput of fluorescence lifetime activated droplet sorting is orders of magnitude lower than that of fluorescence activated cell sorting, making it unattractive for applications such as directed evolution of enzymes, despite its highly effective compartmentalization of library members. We developed a microfluidic sorter capable of selecting fluorophores based on fluorescence lifetime and brightness at two excitation and emission colors at a maximum droplet rate of 2.5 kHz. We also present a novel selection strategy for efficiently analyzing and/or enriching rare fluorescent members from a large population which capitalizes on the Poisson distribution of analyte encapsulation into droplets. The effectiveness of the droplet sorter and the new selection strategy are demonstrated by enriching rare populations from a ∼10

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsFlow CytometryFluorescent DyesFluorescent Dyes

Identifiers

PMID31974539
PMCPMC7135947

What OpenQuestion holds

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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.