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

نویسندگان

  • Yichao Charlie Wu
  • Iris Kulbatski
  • Philip J Medeiros
  • Azusa Maeda
  • Jiachuan Bu
  • Lizhen Xu
  • Yonghong Chen
  • Ralph S DaCosta
چکیده

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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results

BACKGROUND Traditionally, chronic wound infection is diagnosed by visual inspection under white light and microbiological sampling, which are subjective and suboptimal, respectively, thereby delaying diagnosis and treatment. To address this, we developed a novel handheld, fluorescence imaging device (PRODIGI) that enables non-contact, real-time, high-resolution visualization and differentiation...

متن کامل

Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features

This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

متن کامل

Comparison of OmpA Gene-Targeted Real-Time PCR with the Conventional Culture Method for Detection of Acinetobacter baumanii in Pneumonic BALB/c Mice

Background: Acinetobacter baumannii is an important pathogen in health care and is responsible for severe nosocomial and community-acquired pneumonia. To design novel therapeutic agents, a mouse model for A. baumannii pneumonia is essential. Methods: We described a mouse model of A. baumannii using clinical and 19606R standard strains for developing a quantitative real-time PCR (qRT-PCR) for ra...

متن کامل

Bimodal labelling of S. aureus for detection of bacterial colonization in skin infections by MRI

Introduction: Staphylococcus aureus is a versatile human pathogen potentially leading to a diverse array of infections once the natural skin and mucosal barriers are breached (1). Besides minor skin and wound infections it is also a frequent cause of serious and life-threatening diseases such as pneumonia, endocarditis, arthritis, sepsis, peritonitis and osteomyelitis (2, 3). For the understand...

متن کامل

Proposed new signal for real-time stress monitoring: Combination of physiological measures

Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considere...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of biomedical optics

دوره 19 8  شماره 

صفحات  -

تاریخ انتشار 2014