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Proceedings Paper

Fast, long-term super-resolution imaging with Hessian structured illumination microscopy
Author(s): Xiaoshuai Huang; Junchao Fan; Liuju Li; Shan Tan; Liangyi Chen
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Paper 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.

Paper Details

Date Published: 24 April 2018
PDF: 2 pages
Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 1071107 (24 April 2018); doi: 10.1117/12.2322934
Show Author Affiliations
Xiaoshuai Huang, Peking Univ. (China)
Junchao Fan, Huazhong Univ. of Science and Technology (China)
Liuju Li, Huazhong Univ. of Science and Technology (China)
Shan Tan, Huazhong Univ. of Science and Technology (China)
Liangyi Chen, Peking Univ. (China)


Published in SPIE Proceedings Vol. 10711:
Biomedical Imaging and Sensing Conference
Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo, Editor(s)

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