Autofluorescence imaging device for real-time detection and tracking of pathogenic bacteria in a mouse skin wound model: preclinical feasibility studies

Yichao C. Wu; Iris Kulbatski; Philip J. Medeiros; Azusa Maeda; Jiachuan Bu; Lizhen Xu; Yonghong Chen; Ralph S. DaCosta

doi:10.1117/1.JBO.19.8.085002

4 August 2014 Autofluorescence imaging device for real-time detection and tracking of pathogenic bacteria in a mouse skin wound model: preclinical feasibility studies

Yichao C. Wu, Iris Kulbatski, Philip J. Medeiros, Azusa Maeda, Jiachuan Bu, Lizhen Xu, Yonghong Chen, Ralph S. DaCosta

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Journal of Biomedical Optics, Vol. 19, Issue 8, 085002 (August 2014). https://doi.org/10.1117/1.JBO.19.8.085002

Abstract

Bacterial infection significantly impedes wound healing. Clinical diagnosis of wound infections is subjective and suboptimal, in part because bacteria are invisible to the naked eye during clinical examination. Moreover, bacterial infection can be present in asymptomatic patients, leading to missed opportunities for diagnosis and treatment. We developed a prototype handheld autofluorescence (AF) imaging device (Portable Real-time Optical Detection, Identification and Guidance for Intervention—PRODIGI) to noninvasively visualize and measure bacterial load in wounds in real time. We conducted preclinical pilot studies in an established nude mouse skin wound model inoculated with bioluminescent Staphylococcus aureus bacteria. We tested the feasibility of longitudinal AF imaging for in vivo visualization of bacterial load in skin wounds, validated by bioluminescence imaging. We showed that bacteria (S. aureus), occult to standard examination, can be visualized in wounds using PRODIGI. We also detected quantitative changes in wound bacterial load over time based on the antibiotic treatment and the correlation of bacterial AF intensity with bacterial load. AF imaging of wounds offers a safe, noninvasive method for visualizing the presence, location, and extent of bacteria as well as measuring relative changes in bacterial load in wounds in real time.

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Yichao C. Wu, Iris Kulbatski, Philip J. Medeiros, Azusa Maeda, Jiachuan Bu, Lizhen Xu, Yonghong Chen, and Ralph S. DaCosta "Autofluorescence imaging device for real-time detection and tracking of pathogenic bacteria in a mouse skin wound model: preclinical feasibility studies," Journal of Biomedical Optics 19(8), 085002 (4 August 2014). https://doi.org/10.1117/1.JBO.19.8.085002

Published: 4 August 2014

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