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We present a deep learning architecture Convolutional Neural Networks (CNNs) for automatic classification and recognition of reprogramming and reprogrammed human Induced Pluripotent Stem (iPS) cell regions in microscopy images. The differentiated cells that possibly undergo reprogramming to iPS cells can be detected by this method for screening reagents or culture conditions in iPS induction. The...
Considering the presence of multiple types of cell death induced by chemicals, it is important to determine a definitive strategy for the exploration of new highly tumor-selective compounds. The screening of highly selective compounds should be performed before the identification of the type of cell death (either apoptosis, autophagy, or necrosis) and the cell death induction mechanism. The tumor...
The “Kumejima Model” is an integrated system of deep seawater use technologies designed for efficient use of seawater resources for the economic, social, and environmental benefit of island communities. It draws upon the existing industries and resources of Kumejima, Okinawa and applies the expanded water and power production capacities of larger scale seawater pipelines for a self-sufficient community...
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