Evidence map›Paper›PMID 30850523›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Array atomic force microscopy for real-time multiparametric analysis.

Qingqing Yang, Qian Ma, Kate M Herum, Chonghe Wang, Nirav Patel, Joon Lee, Shanshan Wang, Tony M Yen, Jun Wang, Hanmei Tang and 9 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact, top 98% 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

9 citing papers in PubMed, 0 citations in OpenAlex.

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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

19 authors at 3 institutions in 1 country.

Qingqing YangMaterials Science and Engineering, University of California, San Diego, La Jolla, CA 92093.
Qian MaDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093.
Kate M HerumDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-6617-6613
Chonghe WangDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093.
Nirav PatelDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Joon LeeMaterials Science and Engineering, University of California, San Diego, La Jolla, CA 92093.
Shanshan WangDepartment of Anesthesiology, University of California, San Diego, La Jolla, CA 92093.
Tony M YenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Jun WangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Hanmei TangDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093.
Yu-Hwa LoDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-4602-1627
Brian P HeadDepartment of Anesthesiology, University of California, San Diego, La Jolla, CA 92093.
Farooq AzamMarine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.
Sheng XuMaterials Science and Engineering, University of California, San Diego, La Jolla, CA 92093.
Gert CauwenberghsDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Andrew D McCullochDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0002-1708-5675
Scott JohnCardiovascular Research Laboratory, University of California, Los Angeles, CA 90095.
Zhaowei LiuMaterials Science and Engineering, University of California, San Diego, La Jolla, CA 92093; zhaowei@ucsd.edu rlal@ucsd.edu.
Ratnesh LalMaterials Science and Engineering, University of California, San Diego, La Jolla, CA 92093; zhaowei@ucsd.edu rlal@ucsd.edu.
University of California San Diego · USScripps Institution of Oceanography · USUniversity of California, Los Angeles · US

Funding

Amyloid ion channels to design therapeutics for neurodegenerative diseasesR01AG028709 · NIA · UNIVERSITY OF CHICAGO · PI LAL, RATNESHWAR · 2006 to 2018
$3.6M
Systems Biology of Hypertrophic Heart Disease from Molecular Pathways to Organ SystemR01HL137100 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D. · 2017 to 2020
$2.0M
Designing array-AFM to study cellular interactions mediating transmission and progression of AD pathophysiology in brainR56AG058069 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LAL, RATNESHWAR · 2018 to 2019
$755k
Caveolin-Mediated Neuroplasticity in Alzheimer's Disease and in Human Neurons Harboring EOFAD MutationsI01BX003671 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI HEAD, BRIAN P · 2017 to 2024
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BLRD VA I01 BX003671NHLBI NIH HHS R01 HL137100NIA NIH HHS R01 AG028709NIA NIH HHS R56 AG058069
6 · The paper itself

Abstract

Nanoscale multipoint structure-function analysis is essential for deciphering the complexity of multiscale biological and physical systems. Atomic force microscopy (AFM) allows nanoscale structure-function imaging in various operating environments and can be integrated seamlessly with disparate probe-based sensing and manipulation technologies. Conventional AFMs only permit sequential single-point analysis; widespread adoption of array AFMs for simultaneous multipoint study is challenging owing to the intrinsic limitations of existing technological approaches. Here, we describe a prototype dispersive optics-based array AFM capable of simultaneously monitoring multiple probe-sample interactions. A single supercontinuum laser beam is utilized to spatially and spectrally map multiple cantilevers, to isolate and record beam deflection from individual cantilevers using distinct wavelength selection. This design provides a remarkably simplified yet effective solution to overcome the optical cross-talk while maintaining subnanometer sensitivity and compatibility with probe-based sensors. We demonstrate the versatility and robustness of our system on parallel multiparametric imaging at multiscale levels ranging from surface morphology to hydrophobicity and electric potential mapping in both air and liquid, mechanical wave propagation in polymeric films, and the dynamics of living cells. This multiparametric, multiscale approach provides opportunities for studying the emergent properties of atomic-scale mechanical and physicochemical interactions in a wide range of physical and biological networks.

Indexed as

AnimalsMiceMicroscopy, Atomic ForceMyocytes, CardiacNanotechnologyOptical ImagingPolymersStructure-Activity RelationshipSurface PropertiesPolymersatomic force microscopydispersive opticsmultiparametric analysisnanobiosensingnanoimaging

Identifiers

PMID30850523
PMCPMC6442637
OpenAlexW2920941889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.