Laser scanning three-dimensional super-resolution microscopy using non-linear optimization (Conference Presentation)

Simeng Chen; Jian Xing; Jiun-Yann Yu; James Folberth; Stephen Becker; Carol J. Cogswell

doi:10.1117/12.2566686

9 March 2020 Laser scanning three-dimensional super-resolution microscopy using non-linear optimization (Conference Presentation)

Simeng Chen, Jian Xing, Jiun-Yann Yu, James Folberth, Stephen Becker, Carol J. Cogswell

Author Affiliations +

Proceedings Volume 11245, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII; 1124507 (2020) https://doi.org/10.1117/12.2566686
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Although light microscopes play a pivotal role in biological discoveries, their inability to observe the workings of the tiny structures within cells – whose size fall below the classical resolution barrier – continues to frustrate biologists and optical engineers alike. It is generally assumed that the only approach to breaking the classical resolution barrier is through manipulating the fluorophores by their excitation processes, which limits their implementation to a few specific biological applications. Here, we present a new path to achieving super-resolution imaging of three-dimensional objects without the requirements of complex optics or special fluorophores; it can provide more than 3 times resolution improvement in all three dimensions. We demonstrate it on various biological samples: Drosophila brain neurons and mouse brain dendrites.

Conference Presentation

Citation Download Citation

Simeng Chen, Jian Xing, Jiun-Yann Yu, James Folberth, Stephen Becker, and Carol J. Cogswell "Laser scanning three-dimensional super-resolution microscopy using non-linear optimization (Conference Presentation)", Proc. SPIE 11245, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII, 1124507 (9 March 2020); https://doi.org/10.1117/12.2566686

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