Stretching the Limits of Microscopy Imaging with Deep Learning

Balance between spatial resolution, temporal resolution, and sample viability is key to extracting more data from your imaging experiments. The right deep learning model can extend and complement your microscopy system to achieve optimal balance between these three factors. For many researchers, deploying a deep learning model is a daunting task due to the complexity involved in creating a model. In this webinar, Aivia expert Hoyin Lai, will demonstrate a streamlined deep learning workflow for gentle, long-term live cell imaging.

 

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