The gram stain plays an important role in the initial identification and classification of bacteria in the clinical setting. This talk presents an approach into the development and implementation of digital gram stains into the day-to-day laboratory workflow. The use of technological advancements such as automated microscopes and digital photography programming allows gram stains to be quickly and accurately viewed, reported and reviewed from a digital image.
Key components in the implementation of this technology include the programming of digital microscopes and imaging cameras, validation of images captured as well as staff training and integration into existing laboratory processes. Ease of image access for gram stain and culture readers as well as a more objective gram stain interpretation are but a few examples of positive effects gained through use of this technology.
Challenges encountered during implementation such as the speed of image capture, imaging material variability as well as human factors including resistance to change from traditional viewing methods will be addressed in order to successfully allow this technology to be used in the laboratory.
Future developments from the implementation of digital gram images focuses on adapting and optimising technology to manage an increasing patient sample workload as well as opening up the possibility of exploring technologies such as AI assisted gram interpretation.