Evidence map›Paper›PMID 23202197›Full record

ReviewSensors (Basel, Switzerland)2012

Scanning ion conductance microscopy for studying biological samples.

Patrick Happel, Denis Thatenhorst, Irmgard D Dietzel

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Scanning ion conductance microscopy reveals differential effect of PMAnalytical and bioanalytical chemistry · 2023
    Article
  8. Review
  9. Article
  10. Scanning Ion Conductance Microscopy.Chemical reviews · 2021
    Review
  11. Article
  12. The nanomorphology of cell surfaces of adhered osteoblasts.Beilstein journal of nanotechnology · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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.

Patrick HappelCentral Unit for Ionbeams and Radionuclides (RUBION), Ruhr-University of Bochum, Bochum, Bochum, Germany. patrick.happel@rub.de
Denis Thatenhorst
Irmgard D Dietzel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scanning ion conductance microscopy (SICM) is a scanning probe technique that utilizes the increase in access resistance that occurs if an electrolyte filled glass micro-pipette is approached towards a poorly conducting surface. Since an increase in resistance can be monitored before the physical contact between scanning probe tip and sample, this technique is particularly useful to investigate the topography of delicate samples such as living cells. SICM has shown its potential in various applications such as high resolution and long-time imaging of living cells or the determination of local changes in cellular volume. Furthermore, SICM has been combined with various techniques such as fluorescence microscopy or patch clamping to reveal localized information about proteins or protein functions. This review details the various advantages and pitfalls of SICM and provides an overview of the recent developments and applications of SICM in biological imaging. Furthermore, we show that in principle, a combination of SICM and ion selective micro-electrodes enables one to monitor the local ion activity surrounding a living cell.

Indexed as

AnimalsCellsHumansMicroelectrodesMicroscopyMicroscopy, Atomic ForceMicroscopy, Electron, ScanningProteinsRatsProteins

Identifiers

PMID23202197
PMCPMC3522950

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.