Tools for classification of growing/non-growing bacterial colonies using laser speckle imaging
[摘要] Prior research has indicated the feasibility of assessing growth—associated activity in bacterial colonies through the application of laser speckle imaging techniques. A subpixel correlation method was employed to identify variations in sequential laser speckle images, thereby facilitating the visualization of specific zones indicative of microbial growth within the colony. Such differentiation between active (growing) and inactive (non-growing) bacterial colonies holds considerable implications for medical applications, like bacterial response to certain drugs or antibiotics. The present study substantiates the capability of laser speckle imaging to categorize bacterial colonies as growing or non-growing, a parameter which nonvisible in colonies when observed under white light illumination.
[发布日期] 2023-10-20 [发布机构]
[效力级别] [学科分类]
[关键词] laser speckle imaging;sensitive subpixel correlation method;microorganism activity estimation;image processing;artificial neural network [时效性]