A5089120111- Laser Material Processing Techniques
- Advanced Measurement and Metrology Techniques
- Ocular and Laser Science Research
- Advanced machining processes and optimization
- Inflammatory Bowel Disease
- Advanced Optical Sensing Technologies
- Chemistry and Stereochemistry Studies
- Surface Roughness and Optical Measurements
- Plant and animal studies
- Insect Pheromone Research and Control
- Advanced Fiber Optic Sensors
- Water Quality Monitoring Technologies
- Nutrition and Health in Aging
- Air Quality Monitoring and Forecasting
- Celiac Disease Research and Management
- Welding Techniques and Residual Stresses
- Random lasers and scattering media
- Advanced Electron Microscopy Techniques and Applications
- Allergic Rhinitis and Sensitization
- Liquid Crystal Research Advancements
- Medical Imaging Techniques and Applications
- Manufacturing Process and Optimization
- Optical Coherence Tomography Applications
- Transportation Systems and Infrastructure
- Impact of Light on Environment and Health
University Hospital Southampton NHS Foundation Trust
2023-2025
University of Southampton
2019-2023
United States Army
1978
Abstract Interactions between light and matter during short-pulse laser materials processing are highly nonlinear, hence acutely sensitive to parameters such as the pulse energy, repetition rate, number of pulses used. Due this complexity, simulation approaches based on calculation underlying physical principles can often only provide a qualitative understanding inter-relationships these parameters. An alternative approach parameter optimisation, requires systematic time-consuming...
Abstract Whilst advances in lasers now allow the processing of practically any material, further optimisation precision and efficiency is highly desirable, particular via development real-time detection feedback systems. Here, we demonstrate application neural networks for system monitoring visual observation work-piece during laser processing. Specifically, show quantification unintended beam modifications, namely translation rotation, along with closed-loop capable halting immediately...
Abstract Background Ultra-processed foods (UPFs) and their effect on the gut microbiome role in pathogenesis activity of inflammatory bowel disease (IBD) are attracting increasing interest. Dietary restrictions Crohn’s Disease (CD) common, whether self-imposed or result from adherence to advice health professionals1. Increasing attention UPFs may lead further food impact nutrient intake. This study investigated intake adults with CD during remission explored contribution overall macro...
Abstract The identification of mixtures particles in a solution via analysis scattered light can be complex task, due to the multiple scattering effects between different sizes and types particles. Deep learning offers capability for solving problems without need physical understanding underlying system, hence an elegant solution. Here, we demonstrate application convolutional neural networks concentration microparticles (silicon dioxide melamine resin) salinity, directly from light....
Abstract We demonstrate the capability for identification of single particles, via a neural network, directly from backscattered light collected by 30-core optical fibre, when particles are illuminated using mode fibre-coupled laser source. The network was shown to be able determine specific species pollen with ∼97% accuracy, along distance between end sensing fibre and an associated error ±6 μ m. ability classify has potential in environments which transmission imaging is neither possible...
Laser cutting is a materials processing technique used throughout academia and industry. However, defects such as striations can be formed while cutting, which negatively affect the final quality of cut. As light-matter interactions that occur during laser machining are highly non-linear difficult to model mathematically, there interest in developing novel simulation methods for studying these interactions. Deep learning enables data-driven approach modelling complex systems. Here, we show...
Femtosecond laser machining is a complex process, owing to the high peak intensities involved. Modelling approaches for prediction of final sample quality based on photon-atom interactions are therefore challenging extrapolate up microscale and beyond. The problem compounded when multiple exposures used produce structure, where surface modifications from previous must be taken into consideration. Neural network allow automatic creation model that accounts these processes, without any...
Abstract Background Adults with Crohn’s Disease (CD) may have dietary restrictions and micronutrient inadequacies. Consumption of ultra processed foods (UPF) has been associated an increased need for IBD-related surgery is a growing area research. This study aimed to investigate the habitual diet adults CD during disease remission understand nutritional adequacy, diversity quality. Methods 196 adult outpatients in (Harvey Bradshaw Index <5 calprotectin <250µg) were recruited...
Laser machining involves many complex processes, especially when using femtosecond pulses due to the high peak intensities involved. Whilst conventional modelling, such as those based on photon-electron interactions, can be used predict appearance of surface after machining, this generally becomes unfeasible for micron-scale features and larger. The authors have previously demonstrated that neural networks simulate a sample machined different spatial intensity profiles. However, network...
High-repetition-rate femtosecond lasers enable the precise production of nanofoam from a wide range materials. Here, laser-based fabrication silicon, borosilicate glass, sodalime gallium lanthanum sulphide and lithium niobate is demonstrated, where pore size shown to depend strongly on material used, such that width nanofibre appear increase with density thermal expansion coefficient material. In addition, patterning glass slide, fabricated pattern pixel resolution ~35 μm, demonstrated.
We demonstrate the application of deep learning for identification particles, directly from their backscattered light. The particles were illuminated using a single-mode fibre-coupled laser light source and scattered was collected by 30-core optical fibre. technique enabled specific species pollen grains with an accuracy ~97%, even in presence high levels background equivalent to daytime sunlight. In addition, determined distance between fibre tip ± 6 µm.
Fibre laser materials processing is a non-contact manufacturing technique used widely across academia and industry. However, defects such as cracks striations are generally observed on the surface of cut material, hence modelling light-matter interaction particular interest. Laser machining highly non-linear process challenging to model via equation-based approaches (e.g. finite element modelling), particularly physical origins many effects not fully understood [1] . Recently, deep learning...
Abstract Background A reduction in the absolute or relative mass of lean tissue muscle context disease and/or malnutrition are well-described features associated with poor prognosis. Conversely, excessive adiposity may lead to metabolic disease, increased inflammation and has been linked adverse CD outcomes. Bioelectrical impedance analysis (BIA) allows estimation fat-mass index (FMi kg/m2) fat-free (FFMi which can be expressed standardised as Z scores using device-specific age gender...