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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.
Mapping molecular complexes with Super-Resolution Microscopy and Single-Particle Analysis
Understanding the structure of supramolecular complexes provides insight into their functional capabilities and how they can be modulated in the context of disease.
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