Evidence map›Paper›PMID 30959776›Full record

ArticleCells2019

Noninvasive Subcellular Imaging Using Atomic Force Acoustic Microscopy (AFAM).

Xiaoqing Li, Ang Lu, Wenjie Deng, Li Su, Jing Wang, Mingyue Ding

Abstract read
In one paragraph

Article in Cells, 2019. 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
–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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Xiaoqing LiDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. d201677426@hust.edu.cn.
Ang LuDepartment of Biophysics, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. luang199004@163.com.
Wenjie DengDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. wenjie.deng@dental360.cn.
Li SuDepartment of Biophysics, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. lisu@hust.edu.cn.
Jing WangDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. wang.jing@hust.edu.cn.
Mingyue DingDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. myding@hust.edu.cn.ORCID 0000-0003-3933-1205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report an imaging approach applying the atomic force acoustic microscopy (AFAM), which has unique potential for nondestructive imaging of cell internal structures. To obtain high spatial resolution images, we optimized the significant imaging parameters, including scanning speeds, feedback configurations and acoustic frequencies of an AFAM system, to increase the amplitude of the acoustic signal and to stabilize the morphological signals. We also combined the acoustic amplitude and phase signals, and generated pseudo-color figures for better illustration of subcellular features such as pseudopodia, membranes and nucleus-like. The subcellular structural image atlas can describe nanoscale details of multiple samples and provide clearer images of the subcellular features compared to other conventional techniques. This study builds a strong basis of transmission AFAM for cell imaging, which can help researchers to clarify the cell structures in diverse biological fields and push the understanding of biology evolution to a new stage.

Indexed as

Imaging, Three-DimensionalMicroscopy, AcousticMicroscopy, Atomic ForceAlgorithmsCell Line, TumorHumansSubcellular Fractionsatomic force acoustic microscopyimage fusion algorithmparameters optimizationsubcellular structural image atlas

Identifiers

PMID30959776
PMCPMC6523517

What OpenQuestion holds

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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 OpenQuestion graph.