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Recent advances in next generation sequencing and DNA microarray technologies allow scientists to easily access substantial amounts of gene expression data. The analysis of these data enables the discovery of coexpression patterns among genes and their connections to disease in order to achieve deeper insights into the molecular mechanisms of disease development, improve diagnosis, and develop more effective treatment plans (Rosati et al., 2024).
Cloud-based segmentation tools Cellbow (Ren et al., 2020) uses a fully convolutional neural network (FCNN) with two convolutional and deconvolutional layers for fluorescent and bright-field image segmentation. Three examples of cell segmentation are demonstrated which are fission yeast, synthetic, and human cancer cells. Moreover, it also comes with an ImageJ plugin.
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