Aug 2026· Journal of Clinical Microbiology· 0 citations· 13 references
Medicine
TL;DR
A non-optical-based methodology, digital holographic microscopy, in combination with artificial intelligence to automate and provide interpretations and digital images of Gram stains from positive blood culture broths is used.
Abstract
ABSTRACT While automation and digital imaging technologies are now available for setup and workup of microbiology cultures, specimen Gram stain reading is still manually performed and requires experience to provide accurate results. In the article by K. P. Smith, E. Boulanger, M. Elkan, J. Fink, et al. (J Clin Microbiol 64:e01627-25, 2026, https://doi.org/10.1128/jcm.01627-25), the authors use a non-optical-based methodology, digital holographic microscopy, in combination with artificial intelligence to automate and provide interpretations and digital images of Gram stains from positive blood culture broths. While this differs from previous optical-based methods for Gram stain slide scanning, it demonstrated comparable performance. Gram stain slide staining and assistance by artificial intelligence for slide interpretation are a tantalizing future tool for clinical microbiology laboratories.
Abstract Objectives Cerebrospinal fluid (CSF) analysis is important for the diagnosis and follow-up of central nervous system diseases. In this study, we propose a cellular analysis of CSF by digital optical microscopy (OM) using a semi-automatic instrument (SediMAX Lite, Menarini Diagnostic) that evaluates cells and p...
M. Lorubbio, Alessandra Fanelli, Tiziana Biagioli et al.· Advances in Laboratory Medic...· 0 citations
Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO...
A. Samarin, Artem A. Nazarenko, Dmitry Nazarenko et al.· Machine Learning and Knowled...· 0 citations
By converting routine microscopy into an AI-ready data stream without requiring additional acquisition steps, HistoCAM provides a practical bridge to computational pathology while creating process-aware datasets that capture how pathologists examine and interpret tissue.
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Digital morphology can improve standardization, image traceability, remote consultation, education, proficiency testing, quality assurance, and selected aspects of laboratory workflow.
G. Zini· Clinical Chemistry and Labor...· 0 citations
Traditional ova and parasite (O&P) examination by manual microscopy is labor-intensive, subjective and highly dependent on technologist expertise. Much of this expertise resides in an aging workforce, making it difficult to standardize and pass on to newer technologists. Automation of slide preparation combined w...
Shannon M. Gascoigne, Jon Edmonds, S. Johnson et al.· Clinical Chemistry· 0 citations
Indirect immunofluorescence (IIF) on HEp-2 cells remains the reference standard for ANA screening, providing semi-quantitative titers and clinically relevant fluorescence patterns. Despite its high sensitivity, it lacks specificity, and interpretation is influenced by population characteristics, analytical variab...
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