Sentence examples for bacteria in clinical samples from inspiring English sources
Using bTEFAP, it is now possible (and will soon be practical) to avoid the biased culture methods currently used to identify the bacteria in clinical samples.
Molecular methods have many advantages over traditional protocols employed for identification and characterization of bacteria in clinical samples, reviewed [2], [3].
'Broad-range' 16S rRNA PCR and DNA sequencing have emerged as potential adjunctive tools or as alternative culture-independent methods for detecting and identifying pathogenic bacteria in clinical samples.
Unlike culture-based methods, the detection of bacteria in clinical samples by DNA-based methodologies does not indicate whether the bacteria in question are viable.
However, given the fast and superior detection of cSSSI pathogens by real-time PCR, our study indicates that molecular analysis can be an additional method for the detection of bacteria in clinical samples.
To date most studies have focused on single bacterial species within a colonic mucin model or establishing the presence of one or a limited number of mucosa associated bacteria in clinical samples.
E. coli, the most commonly isolated bacterium in clinical samples from patients affected by different severity of diarrheal symptoms, shows high antibiotic resistance [ 21, 22].
We have demonstrated the capability of the array and our statistical methods to identify multiple bacteria and viruses in clinical samples and verified results with PCR.
Metagenomic next-generation sequencing (NGS) is particularly attractive for diagnosis and public health surveillance of febrile illness because the approach can broadly detect viruses, bacteria, and parasites in clinical samples by uniquely identifying sequence data [ 1, 2].
This approach enables the rapid and simultaneous detection of viruses, bacteria, and eukaryotic parasites in clinical samples [ 17].
For example, Weissleder et al. reported the use of magneto-DNA probes specific to bacteria strains capable of rapid and specific profiling directly in clinical samples.
