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 verona wig 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 thes

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Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania

This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X-ray diffraction (XRD) mineralogical results from the same core taken at coarser resolution.It uses read more the XRF core scan data along with published

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