Evidence map›Paper›PMID 23835801›Full record

ArticleCurrent protocols in cytometry2013

Fluidics.

Pearlson P Austin Suthanthiraraj, Steven W Graves

Abstract read
In one paragraph

Article in Current protocols in cytometry, 2013. 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. Review
  2. Review
  3. 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

2 authors.

Pearlson P Austin SuthanthirarajDepartment of Chemical and Nuclear Engineering, University of New Mexico, Albuquerque, New Mexico.
Steven W GravesDepartment of Chemical and Nuclear Engineering, University of New Mexico, Albuquerque, New Mexico.

Funding

Low cost portable flow cytometry (R21/R33)R33RR020064 · NCRR · UNIVERSITY OF NEW MEXICO · PI GRAVES, STEVEN W · 2007 to 2009
$1.4M
NCRR NIH HHS R33 RR020064
6 · The paper itself

Abstract

The use of fluidics is implicit in a technology named "flow cytometry," which flows a cell or particle through a sensing volume to obtain serial analysis of particles on a one by one basis. This flow of particles enables flow cytometry to collect information on multiple particle populations, giving it a distinct advantage over bulk analysis approaches. Moreover, flow cytometers can analyze thousands of particles per second in a single flowing stream. Additionally, use of volumetric sample delivery makes it possible for flow cytometers to accurately count cells and particles. Furthermore, the analysis results can be coupled with a fluidic diversion mechanism to sort and collect particles based on desired properties. Finally, when high-throughput sampling technologies are employed to rapidly change the input of the sample stream, a flow cytometer can become an integral tool for high-throughput screening. The above properties have made flow cytometry useful in a wide range of biomedical applications. In this unit we will present an overview of fluidic systems that make flow cytometry possible. This will introduce historical approaches, explanations of the commonly implemented current fluidics, and brief discussions of potential future fluidics where appropriate.

Indexed as

AcousticsCell SeparationEquipment DesignFlow CytometryMicrofluidicsOptics and PhotonicsSingle-Cell Analysis

Identifiers

PMID23835801
PMCPMC4035220

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.