Evidence map›Paper›PMID 27367702›Full record

ArticleSensors (Basel, Switzerland)2016

Microcantilever Displacement Measurement Using a Mechanically Modulated Optical Feedback Interferometer.

Francisco J Azcona, Ajit Jha, Carlos Yáñez, Reza Atashkhooei, Santiago Royo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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

5 authors.

Francisco J AzconaCentre for Sensors, Instruments and Systems Development (CD6)-UPC BarcelonaTech, Rambla St. Nebridi 10, Terrassa E-08222, Spain. francisco.javier.azcona@upc.edu.
Ajit JhaCentre for Sensors, Instruments and Systems Development (CD6)-UPC BarcelonaTech, Rambla St. Nebridi 10, Terrassa E-08222, Spain. ajit.jha@upc.edu.
Carlos YáñezCentre for Sensors, Instruments and Systems Development (CD6)-UPC BarcelonaTech, Rambla St. Nebridi 10, Terrassa E-08222, Spain. carlos.yanez@upc.edu.
Reza AtashkhooeiCentre for Sensors, Instruments and Systems Development (CD6)-UPC BarcelonaTech, Rambla St. Nebridi 10, Terrassa E-08222, Spain. reza.atashkhooei@upc.edu.
Santiago RoyoCentre for Sensors, Instruments and Systems Development (CD6)-UPC BarcelonaTech, Rambla St. Nebridi 10, Terrassa E-08222, Spain. santiago.royo@upc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microcantilever motion detection is a useful tool for the characterization of the physical, chemical and biological properties of materials. In the past, different approaches have been proposed and tested to enhance the behavior, size and simplicity of microcantilever motion detectors. In this paper, a new approach to measure microcantilever motion with nanometric resolution is presented. The proposed approach is based on the concept of mechanically-modulated optical feedback interferometry, a technique that has shown displacement measurement capabilities well within the nanometric scale and that, due to its size, compactness and low cost, may be a suitable choice for measuring nanometric motions in cantilever-like sensors. It will be shown that the sensor, in its current state of development, is capable of following a cantilever sinusoidal trajectory at different sets of frequencies ranging up to 200 Hz and peak to peak amplitudes up to λ / 2 with experimental resolutions in the λ / 100 range.

Indexed as

atomic force microscopydisplacement measurementnanometric resolutionoptical feedback interferometry

Identifiers

PMID27367702
PMCPMC4970047

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.