@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 {49512,
	title = {Visualizing intracellular organelle and cytoskeletal interactions at nanoscale resolution on millisecond timescales. },
	journal = {Cell},
	volume = {175},
	year = {2018},
	month = {2018 Nov 15},
	pages = {1430-42},
	abstract = {In eukaryotic cells, organelles and the cytoskeleton undergo highly dynamic yet organized interactions capable of orchestrating complex cellular functions. Visualizing these interactions requires noninvasive, long-duration imaging of the intracellular environment at high spatiotemporal resolution and low background. To achieve these normally opposing goals, we developed grazing incidence structured illumination microscopy (GI-SIM) that is capable of imaging dynamic events near the basal cell cortex at 97-nm resolution and 266 frames/s over thousands of time points. We employed multi-color GI-SIM to characterize the fast dynamic interactions of diverse organelles and the cytoskeleton, shedding new light on the complex behaviors of these structures. Precise measurements of microtubule growth or shrinkage events helped distinguish among models of microtubule dynamic instability. Analysis of endoplasmic reticulum (ER) interactions with other organelles or microtubules uncovered new ER remodeling mechanisms, such as hitchhiking of the ER on motile organelles. Finally, ER-mitochondria contact sites were found to promote both mitochondrial fission and fusion.},
	doi = {10.1016/j.cell.2018.09.057},
	author = {Guo, Yuting and Li, Di and Zhang, Siwei and Yang, Yanrui and Liu, Jia-Jia and Wang, Xinyu and Liu, Chong and Milkie, Daniel E and Moore, Regan P and Tulu, U Serdar and Kiehart, Daniel P and Hu, Junjie and Lippincott-Schwartz, Jennifer and Betzig, Eric and Li, Dong}
}
