Nanotechnology is a modern scientific discipline that uses nanoparticles of metals like copper, silver, gold, platinum, and zinc for various applications. Copper oxide nanoparticles (CuONPs) are effective in biomedical settings, such as killing bacteria, speeding up reactions, stopping cancer cells, and coating surfaces. These inorganic nanostructures have a longer shelf life than their organic counterparts and are chemically inert and thermally stable. However, commercial synthesis of NPs often involves harmful byproducts and hazardous chemicals. Green synthesis for CuONPs offers numerous benefits, including being clean, harmless, economical, and environmentally friendly. Using naturally occurring organisms like bacteria, yeast, fungi, algae, and plants can make CuONPs more environmentally friendly. CuONPs are expected to be used in nanomedicine due to their potent antimicrobial properties and disinfecting agents for infectious diseases. This comprehensive review looks to evaluate research articles published in the last ten years that investigate the antioxidant, anticancer, antibacterial, wound healing, dental application and catalytic properties of copper nanoparticles generated using biological processes. Utilising the scientific approach of large-scale data analytics. However, their toxic effects on vertebrates and invertebrates raise concerns about their use for diagnostic and therapeutic purposes. Therefore, biocompatibility and non-toxicity are crucial for selecting nanoparticles for clinical research.
Magnetic Resonance Imaging (MRI) assists in studying the nervous system. MRI scans undergo significant processing before presenting the final images to medical practitioners. These processes are executed with ease due to excellent software pipelines. However, establishing software workstations is non-trivial and requires researchers in life sciences to be comfortable in downloading, installing, and scripting software that is non-user-friendly and may lack basic GUI. As researchers struggle with these skills, there is a dire need to develop software packages that can automatically install software pipelines speeding up building software workstations and laboratories. Previous solutions include NeuroDebian, BIDS Apps, Flywheel, QMENTA, Boutiques, Brainlife and Neurodesk. Overall, all these solutions complement each other. NeuroDebian covers neuroscience and has a wider scope, providing only 51 tools for MRI. Whereas, BIDS Apps is committed to the BIDS format, covering only 45 software related to MRI. Boutiques is more flexible, facilitating its pipelines to be easily installed as separate containers, validated, published, and executed. Whereas, both Flywheel and Qmenta are propriety, leaving four for users looking for ‘free for use’ tools, i.e., NeuroDebian, Brainlife, Neurodesk, and BIDS Apps. This paper presents an extensive survey of 317 tools published in MRI-based neuroimaging in the last ten years, along with ‘aXonica,’ an MRI-based neuroimaging support package that is unbiased towards any formatting standards and provides 130 applications, more than that of NeuroDebian (51), BIDS App (45), Flywheel (70), and Neurodesk (85). Using a technology stack that employs GUI as the front-end and shell scripted back-end, aXonica provides (i) 130 tools that span the entire MRI-based neuroimaging analysis, and allow the user to (ii) select the software of their choice, (iii) automatically resolve individual dependencies and (iv) installs them. Hence, aXonica can serve as an important resource for researchers and teachers working in the field of MRI-based Neuroimaging to (a) develop software workstations, and/or (b) install newer tools in their existing workstations.