@article {68385,
	title = {Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes.},
	journal = {Nature Biotechnology},
	volume = {41},
	year = {2023},
	month = {2023 Mar 01},
	pages = {367-77},
	abstract = {<p>The goal when imaging bioprocesses with optical microscopy is to acquire the most spatiotemporal information with the least invasiveness. Deep neural networks have substantially improved optical microscopy, including image super-resolution and restoration, but still have substantial potential for artifacts. In this study, we developed rationalized deep learning (rDL) for structured illumination microscopy and lattice light sheet microscopy (LLSM) by incorporating prior knowledge of illumination patterns and, thereby, rationally guiding the network to denoise raw images. Here we demonstrate that rDL structured illumination microscopy eliminates spectral bias-induced resolution degradation and reduces model uncertainty by five-fold, improving the super-resolution information by more than ten-fold over other computational approaches. Moreover, rDL applied to LLSM enables self-supervised training by using the spatial or temporal continuity of noisy data itself, yielding results similar to those of supervised methods. We demonstrate the utility of rDL by imaging the rapid kinetics of motile cilia, nucleolar protein condensation during light-sensitive mitosis and long-term interactions between membranous and membrane-less organelles.</p>
},
	issn = {1546-1696},
	doi = {10.1038/s41587-022-01471-3},
	author = {Qiao, Chang and Li, Di and Liu, Yong and Zhang, Siwei and Liu, Kan and Liu, Chong and Guo, Yuting and Jiang, Tao and Fang, Chuyu and Li, Nan and Zeng, Yunmin and He, Kangmin and Zhu, Xueliang and Lippincott-Schwartz, Jennifer and Dai, Qionghai and Li, Dong}
}
@article {47790,
	title = {Membrane dynamics of dividing cells imaged by lattice light-sheet microscopy.},
	journal = {Molecular Biology of the Cell},
	volume = {27},
	year = {2016},
	month = {2016 Aug 17},
	pages = {3418-35},
	abstract = {<p>Membrane remodeling is an essential part for transfer of components to and from the cell surface and membrane-bound organelles, and for changes in cell shape, particularly critical during cell division. Earlier analyses, based on classical optical live-cell imaging, mostly restricted by technical necessity to the attached bottom surface, showed persistent formation of endocytic clathrin pits and vesicles during mitosis. Taking advantage of the resolution, speed, and non-invasive illumination of the newly developed lattice light sheet fluorescence microscope, we reexamined their assembly dynamics over the entire cell surface and showed that clathrin pits form at a lower rate during late mitosis. Full-cell imaging measurements of cell surface area and volume throughout the cell cycle of single cells in culture and in zebrafish embryos showed that the total surface increased rapidly during the transition from telophase to cytokinesis, whereas cell volume increased slightly in metaphase and remained relatively constant during cytokinesis. These applications demonstrate the advantage of lattice light sheet microscopy and enable a new standard for imaging membrane dynamics in single cells and in multicellular assemblies.</p>
},
	issn = {1939-4586},
	doi = {10.1091/mbc.E16-03-0164},
	author = {Aguet, Fran{\c c}ois and Upadhyayula, Srigokul and Gaudin, Rapha{\"e}l and Chou, Yi-ying and Cocucci, Emanuele and He, Kangmin and Chen, Bi-Chang and Mosaliganti, Kishore and Pasham, Mithun and Skillern, Wesley and Legant, Wesley R and Liu, Tsung-Li and Findlay, Greg and Marino, Eric and Danuser, Gaudenz and Megason, Sean and Betzig, Eric and Kirchhausen, Tom}
}
