Evidence map›Paper›PMID 30069282›Full record

ReviewScanning2018

AFM and FluidFM Technologies: Recent Applications in Molecular and Cellular Biology.

Mohamed Yassine Amarouch, Jaouad El Hilaly, Driss Mazouzi

Open access · hybridAbstract readReview
In one paragraph

Review in Scanning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Recent advances in single-cell subcellular sampling.Chemical communications (Cambridge, England) · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Physical energies to the rescue of damaged tissues.World journal of stem cells · 2019
    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

3 authors at 1 institution in 1 country.

Mohamed Yassine AmarouchMaterials, Natural Substances, Environment and Modeling Laboratory, Multidisciplinary Faculty of Taza, University Sidi Mohammed Ben Abdellah, Fez, Morocco.ORCID 0000-0002-0523-1348
Jaouad El HilalyMaterials, Natural Substances, Environment and Modeling Laboratory, Multidisciplinary Faculty of Taza, University Sidi Mohammed Ben Abdellah, Fez, Morocco.
Driss MazouziMaterials, Natural Substances, Environment and Modeling Laboratory, Multidisciplinary Faculty of Taza, University Sidi Mohammed Ben Abdellah, Fez, Morocco.
Université Moulay Ismail de Meknes · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic force microscopy (AFM) is a widely used imaging technique in material sciences. After becoming a standard surface-imaging tool, AFM has been proven to be useful in addressing several biological issues such as the characterization of cell organelles, quantification of DNA-protein interactions, cell adhesion forces, and electromechanical properties of living cells. AFM technique has undergone many successful improvements since its invention, including fluidic force microscopy (FluidFM), which combines conventional AFM with microchanneled cantilevers for local liquid dispensing. This technology permitted to overcome challenges linked to single-cell analyses. Indeed, FluidFM allows isolation and injection of single cells, force-controlled patch clamping of beating cardiac cells, serial weighting of micro-objects, and single-cell extraction for molecular analyses. This work aims to review the recent studies of AFM implementation in molecular and cellular biology.

Indexed as

Cytological TechniquesMicroscopy, Scanning ProbeMolecular Biology

Identifiers

PMID30069282
PMCPMC6057332
OpenAlexW2811441083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.