Abstract
In cellular biology, mitosis and meiosis are essential processes that control cell division and genetic transmission. Numerous disciplines, including developmental biology, genetics, and cancer research, depend on an understanding of these processes. An innovative method for examining these processes is the Mitosis and Meiosis Analysis System (MMAS), which uses artificial intelligence (AI) methods for automated image analysis. An overview of MMAS, including its history, elements, and uses, is given in this paper. We go over how to accurately detect, classify, and quantify mitotic and meiotic events from microscopy images by integrating machine learning models, deep learning frameworks, and advanced image processing algorithms into MMAS. In addition, we discuss how MMAS is used in developmental biology, genetics, and cancer research, among other fields of cellular biology study. By automating image analysis and offering insightful information about cellular dynamics, MMAS is a potent tool that can speed up cellular biology research and deepen our understanding of basic biological processes.
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