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Found 3 papers, 1 papers with code
The Rise of Data-Driven Microscopy powered by Machine Learning
Optical microscopy is an indispensable tool in life sciences research, but conventional techniques require compromises between imaging parameters like speed, resolution, field-of-view, and phototoxicity.
Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging
Fluorescence microscopy, widely used in the study of living cells, tissues, and organisms, often faces the challenge of photodamage.
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
Studying cell morphology changes in time is critical to understanding cell migration mechanisms.
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