NEW OPEN-SOURCE SOFTWARE FOR SUBCELLULAR SEGMENTATION AND ANALYSIS OF SPATIOTEMPORAL FLUORESCENCE SIGNALS USING DEEP LEARNING

New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning

Summary: Cellular imaging instrumentation advancements as well as readily available optogenetic and fluorescence sensors have yielded a profound need for fast, accurate, and standardized analysis.Deep-learning architectures have revolutionized the field of biomedical image analysis and have achieved state-of-the-art accuracy.Despite these advanceme

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The Astrobiology of Alien Worlds: Known and Unknown Forms of Life

Most definitions of life assume that, at a minimum, life is a physical form of matter distinct from its environment at a lower state of entropy than its surroundings, using energy from the environment for internal maintenance and activity, and capable of autonomous reproduction.These assumptions cover all of life as we know it, though kenya tree co

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Technology Anxiety in Virtual Reality Adoption: Examining the Impact of Age, Past Experience, and Cybersickness

This study examines the role of Technology Anxiety (TA), age, past use, and cybersickness in the adoption of Virtual Reality (VR) technology.Using an extended Technology Acceptance Model (TAM), the research integrates age and past use as antecedents of TA and evaluates their influence on perceived ease of use (PEoU), perceived enjoyment (PENJ), and

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