Evidence map›Paper›PMID 27830849›Full record

ReviewLab on a chip2016

Review: imaging technologies for flow cytometry.

Yuanyuan Han, Yi Gu, Alex Ce Zhang, Yu-Hwa Lo

Abstract readReview
In one paragraph

Review in Lab on a chip, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

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28 more citing papers are in PubMed but not listed here.

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

4 authors.

Yuanyuan HanDepartment of Electrical and Computer Engineering, University of California, San Diego, California 92093, USA. ylo@ucsd.edu.
Yi GuDepartment of Electrical and Computer Engineering, University of California, San Diego, California 92093, USA. ylo@ucsd.edu.ORCID 0000-0001-7962-9466
Alex Ce ZhangDepartment of Electrical and Computer Engineering, University of California, San Diego, California 92093, USA. ylo@ucsd.edu.
Yu-Hwa LoDepartment of Electrical and Computer Engineering, University of California, San Diego, California 92093, USA. ylo@ucsd.edu.

Funding

Universal Precision Tool for Single Cell Capture, Conditioning, and DispensingR21GM107977 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LO, YU-HWA · 2013 to 2015
$530k
High-throughput single-cell sorting and kinetic analysis of secreted particlesR43EB021129 · NIBIB · NANOCELLECT BIOMEDICAL, INC. · PI MORACHIS, JOSE MANUEL · 2015 to 2015
$225k
NIBIB NIH HHS R43 EB021129NIGMS NIH HHS R21 GM107977
6 · The paper itself

Abstract

High-throughput single cell imaging is a critical enabling and driving technology in molecular and cellular biology, biotechnology, medicine and related areas. Imaging flow cytometry combines the single-cell imaging capabilities of microscopy with the high-throughput capabilities of conventional flow cytometry. Recent advances in imaging flow cytometry are remarkably revolutionizing single-cell analysis. This article describes recent imaging flow cytometry technologies and their challenges.

Indexed as

Flow CytometryHumansImage Processing, Computer-AssistedMolecular Imaging

Identifiers

PMID27830849
PMCPMC5311077

What OpenQuestion holds

Textmetadata
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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.