Evidence map›Paper›PMID 37623692›Full record

ArticleJournal of imaging2023

Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues.

Michael Okebiorun, Cody Oberbeck, Cameron Waite, Samuel Clark, Dalton Miller, Elisa H Barney Smith, Kenneth A Cornell, Jim Browning

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

Article in Journal of imaging, 2023. 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
0.3field-weighted citation impact, top 36% 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, 2 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

8 authors at 1 institution in 2 countries.

Michael OkebiorunBiomedical Engineering Program, Boise State University, Boise, ID 83725, USA.
Cody OberbeckDepartment of Electrical and Computer Engineering, Boise State University, Boise, ID 83725, USA.ORCID 0009-0001-7486-9492
Cameron WaiteDepartment of Mechanical and Biomedical Engineering, Boise State University, Boise, ID 83725, USA.
Samuel ClarkDepartment of Mathematics, Boise State University, Boise, ID 83725, USA.
Dalton MillerDepartment of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA.
Elisa H Barney SmithDepartment of Electrical and Computer Engineering, Boise State University, Boise, ID 83725, USA.
Kenneth A CornellDepartment of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA.ORCID 0000-0003-3959-2499
Jim BrowningDepartment of Electrical and Computer Engineering, Boise State University, Boise, ID 83725, USA.
Boise State University · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Scott A Minnich · 2012 to 2026
$59.8M
VPS35 D620N inhibits autophagy through disrupted hyaluronic acid-CD44 signalingP20GM109095 · NIGMS · BOISE STATE UNIVERSITY · PI OCHOA-REPARAZ, JAVIER · 2014 to 2023
$22.7M
Optimizing Deep Brain Stimulation for Parkinson's Disease.P20GM148321 · NIGMS · BOISE STATE UNIVERSITY · PI Javier Ochoa-Reparaz · 2023 to 2026
$10.2M
An Engineered Robotic Plasma Array for Large Area Surface DecontaminationR21EB031257 · NIBIB · BOISE STATE UNIVERSITY · PI BROWNING, JIM · 2021 to 2021
$531k
Dynamically Controlled Plasma Scalpel for Wound DebridementR15EB024930 · NIBIB · BOISE STATE UNIVERSITY · PI BROWNING, JIM · 2018 to 2018
$362k
NIBIB NIH HHS R15 EB024930NIBIB NIH HHS R21 EB031257NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P20 GM109095NIGMS NIH HHS P20 GM148321NIH HHS 1R15EB024930-01NIH HHS 1R21EB031257 - 01NIH HHS #P20GM103408NIH HHS #P20GM109095NIH HHS #P20GM148321-01
6 · The paper itself

Abstract

significanceThe development of an imaging technique to accurately identify biofilm regions on tissues and in wounds is crucial for the implementation of precise surface-based treatments, leading to better patient outcomes and reduced chances of infection.

aimThe goal of this study was to develop an imaging technique that relies on selective trypan blue (TB) staining of dead cells, necrotic tissues, and bacterial biofilms, to identify biofilm regions on tissues and wounds. APPROACH: The study explored combinations of ambient multi-colored LED lights to obtain maximum differentiation between stained biofilm regions and the underlying chicken tissue or glass substrate during image acquisition. The TB imaging results were then visually and statistically compared to fluorescence images using a shape similarity measure.

resultsThe comparisons between the proposed TB staining method and the fluorescence standard used to detect biofilms on tissues and glass substrates showed up to 97 percent similarity, suggesting that the TB staining method is a promising technique for identifying biofilm regions.

conclusionsThe TB staining method demonstrates significant potential as an effective imaging technique for the identification of fluorescing and non-fluorescing biofilms on tissues and in wounds. This approach could lead to improved precision in surface-based treatments and better patient outcomes.

Indexed as

biofilm imagingimage processingsegmentationtrypan bluewounds

Identifiers

PMID37623692
PMCPMC10455256
OpenAlexW4385834148

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.