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Found 2 essays matching the above criteria.

1. 1. Generative adversarial networks for single image super resolution in microscopy images

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Saurabh Gawande; [2018]
   Keywords : Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy; Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy;

   Abstract : Image Super resolution is a widely-studied problem in computer vision, where the objective is to convert a lowresolution image to a high resolution image. Conventional methods for achieving super-resolution such as image priors, interpolation, sparse coding require a lot of pre/post processing and optimization. READ MORE

3. 2. Algorithms offering kinetic analysis of drug induced proteasome inhibition and cell clump formation from time lapsed microscopy

   University essay from SLU/Dept. of Animal Breeding and Genetics

   Author : Mohammad Kashif; [2010]
   Keywords : Image processing; time lapsed microscopy; kinetic studies; cell clumps; proteasome inhibition;

   Abstract : High content screening (HCS) has potential to transform many biological fields, ranging from drug discovery to gene function discovery. HCS with time lapsed microscopy provide valuable insight information about live cells experiments that are usually lost during manual end point experiments. READ MORE