Fast, long-term super-resolution imaging with Hessian structured illumination microscopy

Xiaoshuai Huang; Junchao Fan; Liuju Li; Shan Tan; Liangyi Chen

doi:10.1117/12.2322934

24 April 2018 Fast, long-term super-resolution imaging with Hessian structured illumination microscopy

Xiaoshuai Huang, Junchao Fan, Liuju Li, Shan Tan, Liangyi Chen

Author Affiliations +

Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 1071107 (2018) https://doi.org/10.1117/12.2322934
Event: SPIE Structured Light, 2018, Yokohama, Japan

Abstract

To increase the temporal resolution and maximal imaging time of super-resolution (SR) microscopy, we have developed a deconvolution algorithm for structured illumination microscopy based on Hessian matrixes (Hessian-SIM). It uses the continuity of biological structures in multiple dimensions as a priori knowledge to guide image reconstruction and attains artifact-minimized SR images with less than 10% of the photon dose used by conventional SIM. Hessian-SIM enables spatiotemporal resolution of 88 nm and 188 Hz, and hour-long time-lapse SR imaging of actin filaments in live cells. Finally, we observed the structural dynamics of mitochondrial cristae and structures that, to our knowledge, have not been observed previously, such as enlarged fusion pores during vesicle exocytosis.

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Xiaoshuai Huang, Junchao Fan, Liuju Li, Shan Tan, and Liangyi Chen "Fast, long-term super-resolution imaging with Hessian structured illumination microscopy", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 1071107 (24 April 2018); https://doi.org/10.1117/12.2322934

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