Evidence map›Paper›PMID 24739819›Full record

ArticleScientific reports2014

Automated single-cell motility analysis on a chip using lensfree microscopy.

Ivan Pushkarsky, Yunbo Liu, Yunbo Lyb, Westbrook Weaver, Ting-Wei Su, Onur Mudanyali, Aydogan Ozcan, Dino Di Carlo

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 74 citations in OpenAlex.

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  13. Single-Cell Mobility Analysis of Metastatic Breast Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018
    Article
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  15. MBiosensors & bioelectronics · 2018
    Article
  16. Influence of Micropatterned Grill Lines onFrontiers in cellular and infection microbiology · 2018
    Article
  17. Article
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4 · The record

Corrections and comments

  • Erratum issued
    Lyb, Yunbo [corrected to Liu, Yunbo]
5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ivan PushkarskyBioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
Yunbo Liu
Yunbo LybElectrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
Westbrook WeaverBioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
Ting-Wei SuElectrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
Onur MudanyaliElectrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.
Aydogan Ozcan1] Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America [2] Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America [3] California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America.
Dino Di Carlo1] Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America [2] California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America [3] Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California, United States of America.
University of California, Los Angeles · US

Funding

Towards Mega-Throughput, Label-free Genomics and Proteomics: Revolutionizing MicrDP2OD006427 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2009 to 2009
$2.3M
NIH HHS DP2 OD006427NIH HHS DP2OD006427
6 · The paper itself

Abstract

Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery. Such studies are typically performed by controlling environmental conditions around a lens-based microscope, requiring costly instruments while still remaining limited in field-of-view. Here we present a compact cell monitoring platform utilizing a wide-field (24 mm(2)) lensless holographic microscope that enables automated single-cell tracking of large populations that is compatible with a standard laboratory incubator. We used this platform to track NIH 3T3 cells on polyacrylamide gels over 20 hrs. We report that, over an order of magnitude of stiffness values, collagen IV surfaces lead to enhanced motility compared to fibronectin, in agreement with biological uses of these structural proteins. The increased throughput associated with lensfree on-chip imaging enables higher statistical significance in observed cell behavior and may facilitate rapid screening of drugs and genes that affect cell motility.

Indexed as

Biophysical PhenomenaSingle-Cell AnalysisAnimalsCell MovementCell TrackingHolographyMiceMicroscopyNIH 3T3 Cells

Identifiers

PMID24739819
PMCPMC3989554
OpenAlexW2032399582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.