Okebiorun Michael, Oberbeck Cody, Waite Cameron, Clark Samuel, Miller Dalton, Barney Smith Elisa H, Cornell Kenneth A, Browning Jim
Biomedical Engineering Program, Boise State University, Boise, ID 83725, USA.
Department of Electrical and Computer Engineering, Boise State University, Boise, ID 83725, USA.
J Imaging. 2023 Aug 15;9(8):160. doi: 10.3390/jimaging9080160.
The development of an imaging technique to accurately identify biofilm regions on tissues and in wounds is crucial for the implementation of precise surface-based treatments, leading to better patient outcomes and reduced chances of infection.
The goal of this study was to develop an imaging technique that relies on selective trypan blue (TB) staining of dead cells, necrotic tissues, and bacterial biofilms, to identify biofilm regions on tissues and wounds.
The study explored combinations of ambient multi-colored LED lights to obtain maximum differentiation between stained biofilm regions and the underlying chicken tissue or glass substrate during image acquisition. The TB imaging results were then visually and statistically compared to fluorescence images using a shape similarity measure.
The comparisons between the proposed TB staining method and the fluorescence standard used to detect biofilms on tissues and glass substrates showed up to 97 percent similarity, suggesting that the TB staining method is a promising technique for identifying biofilm regions.
The TB staining method demonstrates significant potential as an effective imaging technique for the identification of fluorescing and non-fluorescing biofilms on tissues and in wounds. This approach could lead to improved precision in surface-based treatments and better patient outcomes.
开发一种能够准确识别组织和伤口上生物膜区域的成像技术，对于实施精确的基于表面的治疗至关重要，这将带来更好的患者预后并降低感染几率。
本研究的目标是开发一种成像技术，该技术依赖于对死细胞、坏死组织和细菌生物膜进行选择性台盼蓝（TB）染色，以识别组织和伤口上的生物膜区域。
该研究探索了环境多色LED灯的组合，以便在图像采集过程中，使染色的生物膜区域与下方的鸡肉组织或玻璃基板之间实现最大程度的区分。然后，使用形状相似性度量，将TB成像结果与荧光图像进行视觉和统计比较。
所提出的TB染色方法与用于检测组织和玻璃基板上生物膜的荧光标准之间的比较显示，相似度高达97%，这表明TB染色方法是一种很有前景的识别生物膜区域的技术。
TB染色方法作为一种有效的成像技术，在识别组织和伤口上的荧光和非荧光生物膜方面具有巨大潜力。这种方法可以提高基于表面的治疗的精度，并带来更好的患者预后。
