Classification And Counting Of Cells In Brightfield Microscopy Images: An Application Of Convolutional Neural Networks

Microscopy has been revolutionized by the integration of machine learning algorithms, allowing for automated tasks and predictive models to be constructed from vast datasets. This has led to the development of a model that can accurately classify distinct cell lineages in digital contrast microscopy images, showcasing the potential of CNNs in addressing the complexities of microscopic images.