Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination
Permanent lenke
https://hdl.handle.net/10037/21953Dato
2021-07-19Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Opstad, Ida Sundvor; Hansen, Daniel Henry; Acuña Maldonado, Sebastian Andres; Ströhl, Florian; Priyadarshi, Anish; Tinguely, Jean-Claude; Dullo, Firehun Tsige; Dalmo, Roy Ambli; Seternes, Tore; Ahluwalia, Balpreet Singh; Agarwal, KrishnaSammendrag
Photonic chip-based total internal reflection fluorescence microscopy (c-TIRFM) is an emerging technology enabling a large TIRF excitation area decoupled from the detection objective. Additionally, due to the inherent multimodal nature of wide waveguides, it is a convenient platform for introducing temporal fluctuations in the illumination pattern. The fluorescence fluctuation-based nanoscopy technique multiple signal classification algorithm (MUSICAL) does not assume stochastic independence of the emitter emission and can therefore exploit fluctuations arising from other sources, as such multimodal illumination patterns. In this work, we demonstrate and verify the utilization of fluctuations in the illumination for super-resolution imaging using MUSICAL on actin in salmon keratocytes. The resolution improvement was measured to be 2.2–3.6-fold compared to the corresponding conventional images.
Er en del av
Acuna Maldonado, S.A. (2023). Multiple Signal Classification Algorithm: A computational microscopy tool for fluorescence microscopy. (Doctoral thesis). https://hdl.handle.net/10037/31879.Forlag
Optical Society of AmericaSitering
Opstad IS, Hansen DH, Acuña Maldonado SAA, Ströhl F, Priyadarshi A, Tinguely J, Dullo FT, Dalmo RA, Seternes T, Ahluwalia BS, Agarwal K. Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination. Optics Express. 2021Metadata
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