Abstract
Stochastic optical reconstruction microscopy (STORM) is a promising method for the visualization of ultra-fine mitochondrial structures. However, this approach is limited to monitoring dynamic intracellular events owing to its low temporal resolution. We developed a new strategy to capture mitochondrial dynamics using a compressed sensing STORM algorithm following raw data pre-treatments by a noise-corrected principal component analysis and K-factor image factorization. Using STORM microscopy with a vicinal-dithiol-proteins targeting probe, visualizing mitochondrial dynamics was attainable with spatial and temporal resolutions of 45 nm and 0.8 s, notably, dynamic mitochondrial tubulation retraction of ~746 nm in 1.2 s was monitored. The labeled conjugate was observed as clusters (radii, ~90 nm) distributed on the outer mitochondrial membranes, not yet reported as far as we know. This strategy is promising for the quantitative analysis of intracellular behaviors below the optical diffraction limit.
Original language | English |
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Article number | 119938 |
Journal | Biomaterials |
Volume | 243 |
DOIs | |
Publication status | Published - 2020 Jun |
Bibliographical note
Funding Information:This work was supported by the National Natural Science Foundation of China ( 61875131 / 61525503 / 61620106016 / 61835009 ) and Key Project of Department of Education of Guangdong Province (2016KCXTD007), Guangdong Natural Science Foundation Innovation Team (2014A030312008). This work was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (CRI project no. 2018R1A3B1052702 , JSK).
Publisher Copyright:
© 2020 Elsevier Ltd
Keywords
- Cyanine
- Live cell imaging
- Mitochondrial imaging
- STORM
- VDP Targeting
ASJC Scopus subject areas
- Bioengineering
- Ceramics and Composites
- Biophysics
- Biomaterials
- Mechanics of Materials