Evidence map›Paper›PMID 41892938›Full record

ArticleJournal of imaging2026

Machine Learning-Assisted Classification of Pathogenic Yeasts Using Laser Light Scattering and Conventional Microscopy.

Xiaoxuan Liu, Shamanth Shankarnarayan, Zexi Cheng, Manisha Gupta, Wojciech Rozmus, Mrinal Mandal, Daniel A Charlebois, Ying Yin Tsui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2026. 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. Rapid antifungal phenotypic detection ofFrontiers in cellular and infection microbiology · 2026
    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.

Xiaoxuan LiuDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0003-0101-9494
Shamanth ShankarnarayanDepartment of Physics, University of Alberta, Edmonton, AB T6G 2E1, Canada.ORCID 0000-0002-0367-7514
Zexi ChengDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0009-0002-4479-0596
Manisha GuptaDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Wojciech RozmusDepartment of Physics, University of Alberta, Edmonton, AB T6G 2E1, Canada.ORCID 0009-0009-2660-3727
Mrinal MandalDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Daniel A CharleboisDepartment of Physics, University of Alberta, Edmonton, AB T6G 2E1, Canada.ORCID 0000-0001-7426-1789
Ying Yin TsuiDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0002-3353-7790

Funding

Alberta Innovates AICE-Concepts 597389Natural Sciences and Engineering Research Council of Canada RGPIN-2025-05253
6 · The paper itself

Abstract

Yeast infections are a major concern in clinical settings, and several known species are recognized for their antifungal drug resistance, especially the multidrug-resistant pathogen

Indexed as

label-free identificationlight scatteringmachine learningmicroscopy image classificationpathogenic yeasts

Identifiers

PMID41892938
PMCPMC13027885

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.