Evidence map›Paper›PMID 36301804›Full record

ArticlePloS one2022

Cost-efficient boundary-free surface patterning achieves high effective-throughput of time-lapse microscopy experiments.

Guohao Liang, Hong Yin, Jun Allard, Fangyuan Ding

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guohao LiangDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.
Hong YinDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.
Jun AllardDepartment of Mathematics, and Department of Physics and Astronomy, University of California, Irvine, Irvine, California, United States of America.ORCID 0000-0002-2758-4515
Fangyuan DingDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.ORCID 0000-0003-0118-5441

Funding

Universally-applicable RNA mapping at subcellular and single-base resolutionDP2GM149554 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DING, FANGYUAN · 2022 to 2025
$2.3M
NIGMS NIH HHS DP2 GM149554
6 · The paper itself

Abstract

Time-lapse microscopy plays critical roles in the studies of cellular dynamics. However, setting up a time-lapse movie experiments is not only laborious but also with low output, mainly due to the cell-losing problem (i.e., cells moving out of limited field of view), especially in a long-time recording. To overcome this issue, we have designed a cost-efficient way that enables cell patterning on the imaging surfaces without any physical boundaries. Using mouse embryonic stem cells as an example system, we have demonstrated that our boundary-free patterned surface solves the cell-losing problem without disturbing their cellular phenotype. Statistically, the presented system increases the effective-throughput of time-lapse microscopy experiments by an order of magnitude.

Indexed as

MicroscopyAnimalsMiceTime-Lapse Imaging

Identifiers

PMID36301804
PMCPMC9612557

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.