We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

MRSA AI Diagnostics Software Helps Enhance Microbiology Lab Efficiency and Workflow

By LabMedica International staff writers
Posted on 29 May 2023
Print article
Image: BD Kiestra MRSA imaging application helps enhance microbiology laboratory efficiency and workflow (Photo courtesy of BD)
Image: BD Kiestra MRSA imaging application helps enhance microbiology laboratory efficiency and workflow (Photo courtesy of BD)

Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant risk in hospital environments, leading to serious complications like bloodstream or surgical-site infections, sepsis, and even death. Lab tests are necessary to confirm whether an infection is due to MRSA, and the capacity to conduct these tests efficiently and effectively could profoundly influence patient care. However, labs often face hurdles such as fluctuating sample volumes, staff shortages, financial constraints from budget cuts, and shifting diagnostic methods. To address these challenges and facilitate efficient, timely, and cost-effective clinical bacteriological testing, a new solution now offers comprehensive lab automation for clinical microbiology laboratories.

Becton, Dickinson and Company’s (BD, Franklin Lakes, NJ, USA) new BD Kiestra MRSA imaging application employs artificial intelligence (AI) to analyze bacterial growth and release negative samples with minimal human intervention. The BD Kiestra MRSA application employs AI to automate the traditionally laborious and time-consuming task of inspecting Petri dishes to ascertain bacterial growth, allowing medical lab scientists and technicians to devote more time to high-priority analyses.

The application can evaluate individual samples or group together numerous plates showing non-significant growth for batch review and release of negative results, potentially easing the administrative load on technicians. The MRSA imaging application utilizes AI algorithms to identify specific culture characteristics on the BBL CHROMagar MRSA II plate. Based on this information and analysis by BD Synapsys informatics, plate images are automatically arranged and sorted into meaningful worklists for lab scientists and technicians. This AI-driven imaging application, backed by the BD BBL CHROMagar MRSA II screening plates and powered by BD Synapsys Informatics Solution, is compatible with both standalone BD Kiestra ReadA systems and track-based BD Kiestra lab automation solutions.

"The pandemic created significant and ongoing labor challenges in laboratories, and reading plates is a labor-intense, potentially error-prone process in microbiology," said Nikos Pavlidis, vice president and general manager for Diagnostics at BD. "The use of this imaging application to automatically organize specimens in meaningful worklists helps use limited laboratory staff more efficiently and allows lab personnel to bring their expertise to bear on more critical and complex specimens."

Related Links:
BD 

Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Biological Indicator Vials
BI-O.K.
New
Dermatophytosis Rapid Diagnostic Kit
StrongStep Dermatophytosis Diagnostic Kit

Print article

Channels

Clinical Chemistry

view channel
Image: The study demonstrated that electric-field molecular fingerprinting can probe cancer (Photo courtesy of ACS Central Science, 2025, 10.1021/acscentsci.4c02164)

New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma

Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read more

Molecular Diagnostics

view channel
Image: The test monitors blood levels of DNA fragments released by dying tumor cells (Photo courtesy of 123RF)

Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer

Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Schematic illustration of the chip (Photo courtesy of Biosensors and Bioelectronics, DOI: https://doi.org/10.1016/j.bios.2025.117401)

Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples

Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Sekisui Diagnostics UK Ltd.