Evidence map›Paper›PMID 30891341›Full record

ArticleBiomedical optics express2019

Fluorescence lifetime detection with particle counting devices.

Per Niklas Hedde, Tim Abram, Tam Vu, Weian Zhao, Enrico Gratton

Abstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Per Niklas HeddeLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.
Tim AbramVelox Biosystems, 5 Mason St, Ste 160, Irvine, CA 92618, USA.
Tam VuSue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Life Sciences Center for Advanced Cardiovascular Technology, Department of Biomedical Engineering, Department of Biological Chemistry, Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA.
Weian ZhaoSue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Life Sciences Center for Advanced Cardiovascular Technology, Department of Biomedical Engineering, Department of Biological Chemistry, Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.

Funding

UCI P30 Skin Center Systems Biology CoreP30AR075047 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI ANDERSEN, BOGI, GANESAN, ANAND K · 2019 to 2025
$5.1M
Integrated Comprehensive Droplet Digital Detection (IC 3D) system for rapid detection of bacteria andantimicrobial resistanceR01AI117061 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI ZHAO, WEIAN · 2015 to 2019
$5.1M
NIAID NIH HHS R01 AI117061NIAMS NIH HHS P30 AR075047
6 · The paper itself

Abstract

Fluorescence-based single particle counting devices have become very powerful tools for human health-related applications such as the detection of blood-borne pathogens. Instead of passing the sample fluid through a thin tube or microfluidic chip, as it is commonly practiced in flow cytometers and sorter devices, single particle counters scan the fluid volume by rotation and translation of the sample container. Hence, single particle counters are not limited by the fluid flow friction and can scan a large volume in a short timeframe while maintaining high sensitivity. A single particle can be detected in a milliliter of the fluid sample within minutes, and diagnostics are being developed using this principle. Until now, signal detection with particle counters has been based on signal intensity and signal separation into multiple wavelength bands coupled with multiple detectors, which limits the number of species that can be resolved. In this paper, we applied fluorescence lifetime detection to single particle counting to increase specificity and enable multiplexing with a single detector. We demonstrate how this principle can be used for diagnostic assays based on fluorescence quenching.

Identifiers

PMID30891341
PMCPMC6420272

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.