{'fraction_non_alphanumeric': 0.03255813953488372, 'fraction_numerical': 0.007751937984496124, 'mean_word_length': 5.946236559139785, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Adaptive fluctuation imaging captures rapid subcellular dynamics

In this work we have explored the live-cell friendly nanoscopy method Multiple Signal Classification Algorithm (MUSICAL) for multi-colour imaging of various organelles and sub-cellular structures in the cardiomyoblast cell line H2c9. We have tested MUSICAL for fast (up to 230Hz), multi-colour time-lapse sequences of various sub-cellular structures (mitochondria, endoplasmic reticulum, microtubules, endosomes and nuclei) in living cells using low excitation-light dose. Challenges and opportunities with applying MUSICAL for studying rapid sub-cellular dynamics are discussed.