Evidence map›Paper›PMID 30460127›Full record

ArticleBiomedical optics express2018

Rapid quantification of mitochondrial fractal dimension in individual cells.

Isaac Vargas, Kinan Alhallak, Olivia I Kolenc, Samir V Jenkins, Robert J Griffin, Ruud P M Dings, Narasimhan Rajaram, Kyle P Quinn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Advances in wound care · 2026
    Article
  2. Label-Free Optical Metabolic Imaging in Cells and Tissues.Annual review of biomedical engineering · 2023
    Review
  3. Article
  4. Review
  5. Review
  6. 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

8 authors.

Isaac VargasDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Kinan AlhallakDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Olivia I KolencDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Samir V JenkinsDivision of Radiation Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Robert J GriffinDivision of Radiation Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Ruud P M DingsDivision of Radiation Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Narasimhan RajaramDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Kyle P QuinnDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.

Funding

Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
In vivo label-free characterization of aged skin to predict delayed wound healingR01AG056560 · NIA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2017 to 2021
$1.7M
Non-invasive label-free quantitative imaging for chronic wound characterizationR00EB017723 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2015 to 2017
$745k
NIA NIH HHS R01 AG056560NIBIB NIH HHS R00 EB017723NIGMS NIH HHS P20 GM103625
6 · The paper itself

Abstract

An improved technique for fractal characterization called the modified blanket method is introduced that can quantify surrounding fractal structures on a pixel by pixel basis without artifacts associated with scale-dependent image features such as object size. The method interprets images as topographical maps, obtaining information regarding the local surface area as a function of image resolution. Local fractal dimension (FD) can be quantified from the power law exponent derived from the surface area and image resolution relationship. We apply this technique on simulated cell images of known FD and compared the obtained values to power spectral density (PSD) analysis. Our method is sensitive to a wider FD range (2.0-4.5), having a mean error of 1.4% compared to 6% for PSD analysis. This increased sensitivity and an ability to compute regional FD properties enabled the discrimination of the differences in radiation resistant cancer cell responses that could not be detected using PSD analysis.

Identifiers

PMID30460127
PMCPMC6238904

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.