@article {69227,
	title = {A series of spontaneously blinking dyes for super-resolution microscopy},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 Feb 24},
	abstract = {<p>Spontaneously blinking fluorophores permit the detection and localization of individual molecules without reducing buffers or caging groups, thus simplifying single-molecule localization microscopy (SMLM). The intrinsic blinking properties of such dyes are dictated by molecular structure and modulated by environment, which can limit utility. We report a series of tuned spontaneously blinking dyes with duty cycles that span two orders of magnitude, allowing facile SMLM in cells and dense biomolecular structures.</p>
},
	doi = {10.1101/2024.02.23.581625},
	url = {https://www.biorxiv.org/content/early/2024/02/24/2024.02.23.581625},
	author = {Katie L. Holland and Sarah E. Plutkis and Timothy A. Daugird and Abhishek Sau and Jonathan B. Grimm and Brian P. English and Qinsi Zheng and Sandeep Dave and Fariha Rahman and Liangqi Xie and Peng Dong and Ariana N. Tkachuk and Timothy A. Brown and Robert H. Singer and Zhe Liu and Catherine G. Galbraith and Siegfried M. Musser and Wesley R. Legant and Luke D. Lavis}
}
@article {68655,
	title = {Smart Lattice Light Sheet Microscopy for imaging rare and complex cellular events},
	journal = {Nature Methods},
	volume = {21},
	year = {2024},
	month = {2024 Feb 01},
	pages = {301-310},
	abstract = {<p>Light sheet microscopes enable rapid, high-resolution imaging of biological specimens; however, biological processes span a variety of spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality and constant imaging parameters. To overcome this limitation, we present smartLLSM, a microscope that incorporates AI-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light sheet microscopy. We apply this technology to two major scenarios. First, we demonstrate that the instrument provides population-level statistics of cell cycle states across thousands of cells on a coverslip. Second, we show that by using real-time image feedback to switch between imaging modes, the instrument autonomously captures multicolor 3D datasets or 4D time-lapse movies of dividing cells at rates that dramatically exceed human capabilities. Quantitative image analysis on high-content + high-throughput datasets reveal kinetochore and chromosome dynamics in dividing cells and determine the effects of drug perturbation on cells in specific mitotic stages. This new methodology enables efficient detection of rare events within a heterogeneous cell population and records these processes with high spatiotemporal 4D imaging over statistically significant replicates.</p>
},
	doi = {10.1038/s41592-023-02126-0},
	url = {https://doi.org/10.1038/s41592-023-02126-0},
	author = {Yu Shi and Jimmy S. Tabet and Daniel E. Milkie and Timothy A. Daugird and Chelsea Q. Yang and Andrea Giovannucci and Wesley R. Legant}
}
