Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A Complete Guidebook on Biofilm Study has emphasized the biofilm-related issues in the present context related to research and development. For this purpose, experimental design and relevant experimental protocols for the biofilm studies have been highlighted here. In addition to that, inhibitors from natural or synthetic sources against microbial biofilm development have been addressed. This approach has been further substantiated by bioinformatics as well as nanotechnology-based reports. Both, the image processing related to biofilm study and the characters of substratum associated with biofilm development have also been included for a better understanding of the beginners in this field. Further, how biofilm helps and/or hampers in food processing and waste management system, that discussion has been considered in this book. Similarly, human benefits from biofilm and reverse of it have also been included considering host-pathogen interaction, immunity aspects, and others.

Biofilms. --- Microbial aggregation --- Microbial ecology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Bacterial biofilms are colonies of bacterial cells embedded in their self-produced matrix composed of polysaccharides, DNA, and proteins. They protect bacterial cells against antibiotics, antibacterial agents, soaps and detergents, and shear stress. Some of the most common biofilm-associated infections in humans include urinary tract infections, infection of wounds and surgical sites, diabetic foot ulcers, dental caries (tooth decay) and gingivitis (gum inflammation), ventilator-associated infections, sinusitis, microbial keratitis, secondary infection related to Covid-19 and other viral infections, and so on. Bacterial resistance to common antibiotics (e.g., penicillin, gentamycin, erythromycin, ciprofloxacin, etc.) is driving us to a catastrophic failure of our health systems. Strategies to develop novel antibacterial agents and technology must be prioritized to combat and eradicate biofilms and their associated challenges. This book provides a comprehensive overview of biofilms with chapters on bacterial virulence factors, quorum sensing in bacteria, antimicrobial resistance in bacteria, strategies to develop new antibacterial agents, and much more.

Biofilms. --- Biofilms --- Industrial applications. --- Microbial aggregation --- Microbial ecology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Biofilms --- Mathematical models. --- Microbial aggregation --- Microbial ecology --- Biofilms. --- Models, Mathematical --- Simulation methods

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Application of Biofilms in Applied Microbiology gives a complete overview on the structure, physiology and application of biofilms produced by microbes, along with their potential application in biotechnology. Sections cover new technologies for biofilm study, physiology of microorganisms in biofilms, bacterial biofilms, biofilm development, and fungal biofilms, summarizing various technologies available for biofilm study. Subsequent chapters describe biofilm developments with Bacillus subtillis, Escherichia coli, and Pseudomonas putida, along with several chapters on the study of microbial biofilm and their advantages and disadvantages in the area of environmental biotechnology. The book closes with a chapter on the rapid development of new sequencing technologies and the use of metagenomics, thus revealing the great diversity of microbial life and enabling the emergence of a new perspective on population dynamics.

Microbiology. --- Biofilms --- Industrial applications. --- Microbial aggregation --- Microbial ecology --- Microbial biology --- Biology --- Microorganisms --- Biofilms.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In Wallonia, the regional forest resources are estimated from field methods that may present biases for estimating fast-growing forest species area like poplars, thus requiring support from remote sensing-based solutions. 
The objectives of this master thesis concern the mapping and characterization of the poplar resource in the province of Hainaut. Specifically, it investigates (i) the potential of S2 super-resolution images and (ii) the use of orthoimages through a deep learning-based approach to map the poplar resource, followed by (iii) the ability of an aerial photogrammetry CHM to characterize the latter.
The used methods are divided into two approaches: classification of super-resolved s2 images using Random Forest algorithm (Breiman, 2001), semantic segmentation of ortho-images through a Deep Layer Aggregation (Yu et al., 2018) Neural Network. Both approaches involve 5 steps: data preparation, supervised learning, map production, height classification and accuracy assessment.
The results for the first approach map, with a F1-score of 0.923, is limited in detecting young poplar plantations and overestimates the poplar resource. Then, the second approach produced a map presenting great potential to detect poplar trees with an average accuracy of 1m between the position of correctly predicted and observed poplars, but still contains many False Negatives, resulting in a F1-score of 0.653. Finally, poplar resource characterization shows for the first and second approach a respective ratio of properly identified height classes of 50% and 69%, these results are contrasted by poor ground truth data and a convincing visual assessment.
To conclude, the super-resolution of sentinel-2 image seems to bring a higher accuracy compared to the poplar resource map made on S2 images by (Bolyn, Latte, Colson, et al., 2020a). Furthermore, a potential to map the poplar resource from orthoimages using a deep learning-based approach has been highlighted in this project, despite a low accuracy to be the subject of a management tool at this time. Lastly, although contrasting results, it would seem that aerial photogrammetry CHM could be appropriate to characterize the poplar resource in this project, but would require field validation.

Forest mapping --- Forest characterization --- Poplar resource --- Random Forests --- Deep Learning --- Deep Layer Aggregation --- Sentinel-2 super-resolution images --- Orthoimages --- Aerial photogrammetric canopy height model --- Ingénierie, informatique & technologie > Multidisciplinaire, généralités & autres