Evidence map›Paper›PMID 33208817›Full record

ArticleScientific reports2020

Detection of cellular micromotion by advanced signal processing.

Stephan Rinner, Alberto Trentino, Heike Url, Florian Burger, Julian von Lautz, Bernhard Wolfrum, Friedemann Reinhard

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. 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, top 95% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Stephan Rinner *Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
Alberto Trentino *Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
Heike UrlDepartment of Electrical and Computer Engineering, Munich School of Bioengineering, Technische Universität München, Boltzmannstraße 11, 85748, Garching, Germany.
Florian BurgerWalter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
Julian von Lautz, Landshuter Allee 27, 80637, München, Germany.
Bernhard WolfrumDepartment of Electrical and Computer Engineering, Munich School of Bioengineering, Technische Universität München, Boltzmannstraße 11, 85748, Garching, Germany.
Friedemann ReinhardWalter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany. friedemann.reinhard@wsi.tum.de.
Schott (Germany) · DETechnical University of Munich · DENanosystems Initiative Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular micromotion-a tiny movement of cell membranes on the nm-µm scale-has been proposed as a pathway for inter-cellular signal transduction and as a label-free proxy signal to neural activity. Here we harness several recent approaches of signal processing to detect such micromotion in video recordings of unlabeled cells. Our survey includes spectral filtering of the video signal, matched filtering, as well as 1D and 3D convolutional neural networks acting on pixel-wise time-domain data and a whole recording respectively.

Indexed as

Cell MovementNeural Networks, ComputerSignal Processing, Computer-AssistedVideo RecordingComputer GraphicsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalNeurons

Identifiers

PMID33208817
PMCPMC7675976
OpenAlexW3024171772

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.