A microbial diagnostic microarray technique for the sensitive detection and identification of pathogenic bacteria in a background of nonpathogens

2007 ◽  
Vol 360 (2) ◽  
pp. 244-254 ◽  
Author(s):  
Tanja Kostić ◽  
Alexandra Weilharter ◽  
Salvatore Rubino ◽  
Giuseppe Delogu ◽  
Sergio Uzzau ◽  
...  
2017 ◽  
Vol 11 (01) ◽  
pp. 1850007 ◽  
Author(s):  
Yingchuan He ◽  
Weize Xu ◽  
Yao Zhi ◽  
Rohit Tyagi ◽  
Zhe Hu ◽  
...  

Traditionally, optical microscopy is used to visualize the morphological features of pathogenic bacteria, of which the features are further used for the detection and identification of the bacteria. However, due to the resolution limitation of conventional optical microscopy as well as the lack of standard pattern library for bacteria identification, the effectiveness of this optical microscopy-based method is limited. Here, we reported a pilot study on a combined use of Structured Illumination Microscopy (SIM) with machine learning for rapid bacteria identification. After applying machine learning to the SIM image datasets from three model bacteria (including Escherichia coli, Mycobacterium smegmatis, and Pseudomonas aeruginosa), we obtained a classification accuracy of up to 98%. This study points out a promising possibility for rapid bacterial identification by morphological features.


2016 ◽  
Vol 8 (28) ◽  
pp. 5611-5618 ◽  
Author(s):  
Christopher A. Browne ◽  
Thomas P. Forbes ◽  
Edward Sisco

The rapid and sensitive detection of sugar alcohol sweeteners was demonstrated using ion mobility spectrometry (IMS).


Molecules ◽  
2020 ◽  
Vol 25 (22) ◽  
pp. 5256
Author(s):  
Andrea Locke ◽  
Sean Fitzgerald ◽  
Anita Mahadevan-Jansen

Bacterial infection is a global burden that results in numerous hospital visits and deaths annually. The rise of multi-drug resistant bacteria has dramatically increased this burden. Therefore, there is a clinical need to detect and identify bacteria rapidly and accurately in their native state or a culture-free environment. Current diagnostic techniques lack speed and effectiveness in detecting bacteria that are culture-negative, as well as options for in vivo detection. The optical detection of bacteria offers the potential to overcome these obstacles by providing various platforms that can detect bacteria rapidly, with minimum sample preparation, and, in some cases, culture-free directly from patient fluids or even in vivo. These modalities include infrared, Raman, and fluorescence spectroscopy, along with optical coherence tomography, interference, polarization, and laser speckle. However, these techniques are not without their own set of limitations. This review summarizes the strengths and weaknesses of utilizing each of these optical tools for rapid bacteria detection and identification.


2014 ◽  
Vol 62 ◽  
pp. 38-46 ◽  
Author(s):  
Hongxing Liu ◽  
Fangfang Zhan ◽  
Fang Liu ◽  
Minjun Zhu ◽  
Xiaoming Zhou ◽  
...  

2014 ◽  
Vol 50 (47) ◽  
pp. 6252-6255 ◽  
Author(s):  
Hiroshi Shiigi ◽  
Maho Fukuda ◽  
Takatoshi Tono ◽  
Kaori Takada ◽  
Tomoyuki Okada ◽  
...  

A simple and highly sensitive detection of pathogenic bacteria is achieved by utilizing gold nanoparticles as an optical antenna.


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