Adaptive fluctuation imaging captures rapid subcellular dynamics

Ida S. Opstad; Florian Ströhl; Åsa B. Birgisdottir; Sebastián Maldonado; Trine Kalstad; Truls Myrmel; Krishna Agarwal; Balpreet S. Ahluwalia

doi:10.1117/12.2526846

22 July 2019 Adaptive fluctuation imaging captures rapid subcellular dynamics

Ida S. Opstad, Florian Ströhl, Åsa B. Birgisdottir, Sebastián Maldonado, Trine Kalstad, Truls Myrmel, Krishna Agarwal, Balpreet S. Ahluwalia

Author Affiliations +

Proceedings Volume 11076, Advances in Microscopic Imaging II; 110761W (2019) https://doi.org/10.1117/12.2526846
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

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.

Citation Download Citation

Ida S. Opstad, Florian Ströhl, Åsa B. Birgisdottir, Sebastián Maldonado, Trine Kalstad, Truls Myrmel, Krishna Agarwal, and Balpreet S. Ahluwalia "Adaptive fluctuation imaging captures rapid subcellular dynamics", Proc. SPIE 11076, Advances in Microscopic Imaging II, 110761W (22 July 2019); https://doi.org/10.1117/12.2526846

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