Yoav Shechtman,1 Elias Nehme,1 Boris Ferdman,1 Omer Adir,1 Racheli Gordon-Soffer,1 Reut Orange,1 Tal Naor,1 Yael Shalev-Ezra,1 Sarah Goldberg,1 Onit Alalouf,1 Daniel Freedman,2 Avi Schroeder,1 Tomer Michaeli,1 Lucien E. Weiss1
1Technion-Israel Institute of Technology (Israel) 2Google Haifa (Israel)
Attaining three-dimensional data at high throughput is a grand challenge in microscopy. I will discuss two recent contributions to 3D microscopy utilizing point-spread-function (PSF) engineering: 1.a new method that extends the capabilities of flow-based imaging to 3D co-localization microscopy, and 2. efficient and fast localization of dense molecules in volumetric single-molecule-localization microscopy (SMLM) using deep learning, termed DeepSTORM3D.
Together, these methods enable the study of sub-cellular biological processes at unprecedented timescales and throughputs.
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Yoav Shechtman, Elias Nehme, Boris Ferdman, Omer Adir, Racheli Gordon-Soffer, Reut Orange, Tal Naor, Yael Shalev-Ezra, Sarah Goldberg, Onit Alalouf, Daniel Freedman, Avi Schroeder, Tomer Michaeli, Lucien E. Weiss, "3D microscopy in extreme conditions: in-flow or at high density," Proc. SPIE 11654, High-Speed Biomedical Imaging and Spectroscopy VI, 116540R (5 March 2021); https://doi.org/10.1117/12.2582466