Digital Image Analysis for the Detection of Group B Streptococcus from ChromID Strepto B Medium Using PhenoMatrix Algorithms
Open accessAbstract
Group B Streptococcus (GBS) can be found to colonize about 25% of all healthy, adult women and is the leading infectious cause of early neonatal morbidity and mortality in the United States. This study evaluated the clinical performance of PhenoMatrix (PM) chromogenic detection module (CDM) digital imaging software in detection of GBS from LIM broth plated on ChromID Strepto B chromogenic medium (ChromID) using the WASP automated processor. The performance of the PM CDM was compared to manual culture review of the digital images and molecular detection of GBS.
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Prior studies have shown the accuracy of these algorithms across multiple specimen types and media.
“Prior studies have shown the accuracy of these algorithms across multiple specimen types and media (2–6).”
From Improving turnaround times with artificial intelligence in microbiology (2026) · cites this paper as [6]
The Results report the imaging algorithm’s performance for GBS screening on ChromID GBS medium, and the Discussion describes earlier algorithm studies on other chromogenic media. The paper therefore supports accuracy findings across media, but its own evaluation uses vaginal-rectal swabs and does not establish accuracy across multiple specimen types. (LLM, conf=0.82)
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Cited by
Sorted by citations
Improving turnaround times with artificial intelligence in microbiology
Davidson, R., Heinstein, C., Patriquin, G., Goneau, L. W., Brown, L. A., & Hill, B. J. (2026) · Journal of Clinical Microbiology · doi:10.1128/jcm.00354-26 · Cited by 2 · see citing works
- Authors
- Baker, J., Timm, K., Faron, M., Ledeboer, N., & Culbreath, K.
- Affiliations
- TriCore Reference Laboratories, Albuquerque, New Mexico, USA
- Medical College of Wisconsin (US)
- University of New Mexico (US)
- Corresponding author
- Culbreath, Karissa
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2020-12-17
- Volume
- 59
- Issue
- 1
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- PMC
- PMC7771474
- OpenAlex
- W3094453413
- Cited by
- 29
- References
- 1
- Citations by year
- 2026: 6 · 2025: 1 · 2024: 11 · 2023: 6 · 2022: 2 · 2021: 3
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Clinical Microbiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UNM’s Digital Repository (University of New Mexico) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Neonatal and Maternal Infections
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Keywords
- Streptococcus agalactiae, digital image analysis, chromogenic detection, nucleic acid amplification tests, sensitivity and specificity, maternal colonization, culture-based detection
- MeSH terms
- Adult, Algorithms, Bacteriological Techniques, Culture Media, Female, Humans, Infant, Newborn, Pregnancy, Pregnancy Complications, Infectious, Sensitivity and Specificity, Streptococcal Infections, Streptococcus agalactiae, Vagina
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