mmc2023 incorporating EMAG 2023 Abstract Database

• A deep-learning based approach to particle fusion for enhanced resolution in localisation microscopy

  Mr Daniel Stedman, Dr Susan Cox

• Building AI Infrastructure for Scalable Bioimage Analysis

  Assistant Professor Wei Ouyang

• Deep Learning in Confocal Fluorescence Microscopy for Synthetic Image Generation and Processing Pipeline

  Ee Diego Silvera, Ee María José Millán, Ee Emiliano Merlo, PhD Federico Lecumberry, PhD Álvaro Gomez, PhD Patricia Cassina, MSc Erik Winiarski

• Focus Quality Evaluation of Microscope images with Deep Learning

  Mr Zhongwang Li, Dr Keith Siew, Dr Stephen Walsh, Prof Simon Walker-Samuel

• Microscopy image analysis for humans (with machines)

  Dr Peter Bankhead

• Spatial-temporal graph convolutional neural networks on evolving cell surfaces

  Mr Edward Offord, Dr Judith Lutton, Professor Till Bretschneider

• Transfer Learning for TEM Image Segmentation

  Natalia da Silva de Sa, Dr. Andrew Stewart

• Using Deep Learning based reconstruction techniques to improve image quality and reduce scan times of plant biology samples scanned with X-ray microscopes

  Dr Keith Duncan, Dr Rachna Parwani, Dr Rosy Manser

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