Evidence map›Paper›PMID 21704835›Full record

ReviewMethods in cell biology2011

Parallel imaging microfluidic cytometer.

Daniel J Ehrlich, Brian K McKenna, James G Evans, Anna C Belkina, Gerald V Denis, David H Sherr, Man Ching Cheung

Abstract readReview
In one paragraph

Review in Methods in cell biology, 2011. 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
3.9field-weighted citation impact, top 8% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Daniel J EhrlichDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Brian K McKenna
James G Evans
Anna C Belkina
Gerald V Denis
David H Sherr
Man Ching Cheung
Boston University · USBoston Medical Center · US

Funding

High-Throughput BioMEMS DNA SequencingR01HG001389 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI EHRLICH, DANIEL J · 1995 to 2012
$13.6M
RESEARCH TRAINING IN IMMUNOLOGYT32AI007309 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GUMMULURU, SURYARAM · 1988 to 2024
$7.4M
Proteomic biomarkers for lymphomaR03CA128006 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V · 2007 to 2008
$163k
Biomarkers for lymphoma in a new transgenic mouse modelR03CA102889 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V · 2004 to 2005
$162k
NCI NIH HHS R03 CA102889NCI NIH HHS R03 CA128006NHGRI NIH HHS HG-01389NHGRI NIH HHS R01 HG001389NIAID NIH HHS T32 AI007309
6 · The paper itself

Abstract

By adding an additional degree of freedom from multichannel flow, the parallel microfluidic cytometer (PMC) combines some of the best features of fluorescence-activated flow cytometry (FCM) and microscope-based high-content screening (HCS). The PMC (i) lends itself to fast processing of large numbers of samples, (ii) adds a 1D imaging capability for intracellular localization assays (HCS), (iii) has a high rare-cell sensitivity, and (iv) has an unusual capability for time-synchronized sampling. An inability to practically handle large sample numbers has restricted applications of conventional flow cytometers and microscopes in combinatorial cell assays, network biology, and drug discovery. The PMC promises to relieve a bottleneck in these previously constrained applications. The PMC may also be a powerful tool for finding rare primary cells in the clinic. The multichannel architecture of current PMC prototypes allows 384 unique samples for a cell-based screen to be read out in ∼6-10 min, about 30 times the speed of most current FCM systems. In 1D intracellular imaging, the PMC can obtain protein localization using HCS marker strategies at many times for the sample throughput of charge-coupled device (CCD)-based microscopes or CCD-based single-channel flow cytometers. The PMC also permits the signal integration time to be varied over a larger range than is practical in conventional flow cytometers. The signal-to-noise advantages are useful, for example, in counting rare positive cells in the most difficult early stages of genome-wide screening. We review the status of parallel microfluidic cytometry and discuss some of the directions the new technology may take.

Indexed as

AnimalsCalibrationCell CountData Interpretation, StatisticalEarly Detection of CancerFlow CytometryGenome-Wide Association StudyHumansMicrofluidic Analytical TechniquesRobotics

Identifiers

PMID21704835
PMCPMC3139515
OpenAlexW1552925043

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.