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Autoencoders Without Reconstruction for Textural Anomaly Detection (2021)
Conference Proceeding
Adey, P., Akcay, S., Bordewich, M., & Breckon, T. (2021). Autoencoders Without Reconstruction for Textural Anomaly Detection. . https://doi.org/10.1109/ijcnn52387.2021.9533804

Automatic anomaly detection in natural textures is a key component within quality control for a range of high-speed, high-yield manufacturing industries that rely on camera-based visual inspection techniques. Targeting anomaly detection through the u... Read More about Autoencoders Without Reconstruction for Textural Anomaly Detection.

An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets (2013)
Conference Proceeding
Hargreaves, A. L., Kirby, A. K., Bain, C. D., Love, G. D., Bolognesi, G., Ces, O., …Ward, A. D. (2013). An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets. In K. Dholakia, & G. C. Spalding (Eds.), . https://doi.org/10.1117/12.2027105

We discuss the design, implementation and performance of a novel platform for the production and optical control of ultra-low interfacial tension droplets in the 1-10 micron regime. A custom-designed, integrated microfluidic system allows the product... Read More about An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets.