Evidence map›Paper›PMID 35532848›Full record

ArticleThe European physical journal. E, Soft matter2022

Measuring the average cell size and width of its distribution in cellular tissues using Fourier transform.

Tess Homan, Sylvain Monnier, Cécile Jebane, Alice Nicolas, Hélène Delanoë-Ayari

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in The European physical journal. E, Soft matter, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Tess HomanUniv Lyon, Univ Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, 69622, Villeurbanne, France.
Sylvain MonnierUniv Lyon, Univ Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, 69622, Villeurbanne, France.
Cécile JebaneUniv Lyon, Univ Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, 69622, Villeurbanne, France.
Alice NicolasUniv. Grenoble Alpes, CNRS, CEA/LETIMinatec, Grenoble INP, LTM, 38054, Grenoble, France.
Hélène Delanoë-AyariUniv Lyon, Univ Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, 69622, Villeurbanne, France. helene.ayari@univ-lyon1.fr.
Université Claude Bernard Lyon 1 · FRInstitut polytechnique de Grenoble · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an in-depth investigation of a fully automated Fourier-based analysis to determine the cell size and the width of its distribution in 3D biological tissues. The results are thoroughly tested using generated images, and we offer valuable criteria for image acquisition settings to optimize accuracy. We demonstrate that the most important parameter is the number of cells in the field of view, and we show that accurate measurements can already be made on volume only containing [Formula: see text] cells. The resolution in z is also not so important, and a reduced number of in-depth images, of order of one per cell, already provides a measure of the mean cell size with less than 5% error. The technique thus appears to be a very promising tool for very fast live local volume cell measurement in 3D tissues in vivo while strongly limiting photobleaching and phototoxicity issues.

Indexed as

Image Processing, Computer-AssistedCell SizeFourier Analysis

Identifiers

PMID35532848
OpenAlexW4229450858

What OpenQuestion holds

Textmetadata
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.