Evidence map›Paper›PMID 41550100›Full record

ArticleInformation (Basel)2025

AI-Based Detection of Optical Microscopic Images of

Bidisha Sengupta, Mousa Alrubayan, Manideep Kolla, Yibin Wang, Esther Mallet, Angel Torres, Ravyn Solis, Haifeng Wang, Prabhakar Pradhan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Information (Basel), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Bidisha SenguptaDepartment of Chemistry & Biochemistry, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.ORCID 0000-0003-4624-9998
Mousa AlrubayanDepartment of Physics and Astronomy, Mississippi State University, Mississippi State, MS 39762, USA.
Manideep KollaDepartment of Computer Science and Engineering, Mississippi State University, Mississippi State, MS 39762, USA.
Yibin WangDepartment of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0002-8761-5387
Esther MalletDepartment of Chemistry & Biochemistry, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.
Angel TorresDepartment of Chemistry & Biochemistry, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.
Ravyn SolisDepartment of Chemistry & Biochemistry, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.
Haifeng WangDepartment of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS 39762, USA.
Prabhakar PradhanDepartment of Physics and Astronomy, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0003-4363-2326

Funding

Photonics probing of DNA mass density spatial structure for cancer diagnosticsR21CA260147 · NCI · MISSISSIPPI STATE UNIVERSITY · PI PRADHAN, PRABHAKAR · 2021 to 2021
$397k
Optimization and Validation of a Cost-effective Image-Guided Automated Extracapsular Extension Detection Framework through Interpretable Machine Learning in Head and Neck CancerR03DE032766 · NIDCR · MISSISSIPPI STATE UNIVERSITY · PI DUGGAR, WILLIAM NEIL, WANG, HAIFENG · 2023 to 2024
$308k
NCI NIH HHS R21 CA260147NIDCR NIH HHS R03 DE032766
6 · The paper itself

Abstract

Biofilms are resistant microbial cell aggregates that pose risks to the health and food industries and produce environmental contamination. The accurate and efficient detection and prevention of biofilms are challenging and demand interdisciplinary approaches. This multidisciplinary research reports the application of a deep learning-based artificial intelligence (AI) model for detecting biofilms produced by

Indexed as

aptamer DNAbrightfield imagingconvolutional neural networks (CNN)deep learningsilver nanocluster (Ag-NC)U-Net with ResNet

Identifiers

PMID41550100
PMCPMC12807543

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.