Download full-text PDF

Source
http://dx.doi.org/10.1007/0-306-48382-3_36DOI Listing

Publication Analysis

Top Keywords

detection microbial
4
microbial dna
4
dna skin
4
skin lesions
4
lesions patients
4
patients behçet's
4
behçet's disease
4
detection
1
dna
1
skin
1

Similar Publications

Carbapenem-resistant Acinetobacter baumannii (CRAB) is an emerging threat to healthcare settings in many countries, principally in South Asia. The current study was aimed to identify, evaluate whole-genome and characterize the prophages in genome of CRAB strain, recovered from patients of Lahore General Hospital, Lahore. More than 200 samples were collected and identified by morphological and biochemical tests.

View Article and Find Full Text PDF

Aims: Supplementing Lactobacillus alongside antibiotic treatment was a curative strategy to modulate gut microbiota and alleviate antibiotic-associated dysbiosis. But the lactobacilli that are used as probiotics are sensitive or have a low level of resistance to antibiotics, so they usually cannot achieve their beneficial effect, since they are killed by the applied antibiotics. This work aimed to develop the highly resistant Lactiplantibacillus plantarum subsp.

View Article and Find Full Text PDF

Background: Twelve bacterial families were identified as global priority pathogens by the World Health Organization in 2017, recognizing the greatest threat they pose to human health and the declining antibiotic efficacy. Robotics has emerged as a swift and contactless tool for disinfecting bacterial surface contamination in healthcare facilities, however, head-to-head comparison of disinfection efficacy of robotic versus manual disinfections is limited. This study aimed at comparing how robotic disinfection performs over manual disinfection against the global priority pathogens in the healthcare setting.

View Article and Find Full Text PDF

In the published article "Silver nanoparticles directly formed on natural macroporous matrix and their anti-microbial activities, Nanotechnology 18 (2007) 055605", the figure caption of Figure 8 has an error in immersion time, and the correct caption is given in this Corrigendum.

View Article and Find Full Text PDF

The types and quantities of microorganisms in activated sludge are directly related to the stability and efficiency of sewage treatment systems. This paper proposes a sludge microorganism detection method based on microscopic phase contrast image optimisation and deep learning. Firstly, a dataset containing eight types of microorganisms is constructed, and an augmentation strategy based on single and multisamples processing is designed to address the issues of sample deficiency and uneven distribution.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!