AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth

Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell, bridging the mesoscale gap to classical structural biology methodologies. Analysis of super-resolution data by artifici...

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Bibliographische Detailangaben

Hauptverfasser:	Nabi, Ivan R, Cardoen, Ben, Khater, Ismail M, Gao, Guang, Wong, Timothy H, Hamarneh, Ghassan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Physics - Biological Physics Quantitative Biology - Quantitative Methods Quantitative Biology - Subcellular Processes
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