Poster + Paper
9 October 2021 Isotropic divide-stages-to process convolutional neural network enhanced double-ring modulated SPIM microscopy (IDDR-SPIM): achieving 5D super-resolution imaging in live cell
Author Affiliations +
Conference Poster
Abstract
The tradeoff between spatial-temporal resolutions and phototoxicity prevents fast 3D super-resolution imaging from living cells, hindering the reveal of the subcellular interactions. Key challenges lie in the quests to optimal excitation and efficient super-resolution. Here, we present a double-ring modulated SPIM design toward an ultrathin uniform light sheet with low side lobes. The combination of IDDR SPIM with our isotropic divide-stages-to-process (ID) networks allows live-cell imaging at isotropic 100 nm resolution with a volume rate up to 17 Hz for thousands of time points.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuxuan Zhao, Yao Zhou, Longbiao Chen, Peng Wang, and Peng Fei "Isotropic divide-stages-to process convolutional neural network enhanced double-ring modulated SPIM microscopy (IDDR-SPIM): achieving 5D super-resolution imaging in live cell", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 119002E (9 October 2021); https://doi.org/10.1117/12.2601421
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KEYWORDS
Super resolution

Microscopy

3D image processing

Convolutional neural networks

Image resolution

Live cell imaging

Modulation

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