Evidence map›Paper›PMID 34276966›Full record

ArticleF1000Research2020

Image analysis method for heterogeneity and porosity characterization of biomimetic hydrogels.

Maryam Jamshidi, Cavus Falamaki

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Maryam JamshidiChemical Engineering Department, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran.ORCID 0000-0003-1020-2661
Cavus FalamakiChemical Engineering Department, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran.ORCID 0000-0003-0482-5520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents an image processing procedure for characterization of porosity and heterogeneity of hydrogels network mainly based on the analysis of cryogenic scanning electron microscopy (cryo-SEM) images and can be extended to any other type of microscopy images of hydrogel porous network. An algorithm consisting of different filtering, morphological transformation, and thresholding steps to denoise the image whilst emphasizing the edges of the hydrogel walls for extracting either the pores or hydrogel walls features is explained. Finally, the information of hydrogel porosity and heterogeneity is presented in form of pore size distribution, spatial contours maps and kernel density dot plots. The obtained results reveal that a non-parametric kernel density plot effectively determines the spatial heterogeneity and porosity of the hydrogel.

Indexed as

BiomimeticsHydrogelsImage Processing, Computer-AssistedMicroscopy, Electron, ScanningPorosityHydrogelsdistributionfilterfrequencyhydrogelimage processingkernelnoisepixelporetransformation

Identifiers

PMID34276966
PMCPMC8256190

What OpenQuestion holds

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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.