Multi-channel high-density single-molecule localization
Hao Sha, Lucas-Raphael MülleriD, Nestor Miguel Castillo Duque de Estrada, Maxime MathieuiD, Arthur Jaques, Zach MariniD, Y ZhangiD, Jakob H. MackeiD, Jonas RiesiD
Abstract
Deep learning has enabled single-molecule localization microscopy (SMLM) at high emitter densities, but only for single channel systems. Here we present DECODE-Plex, a deep-learning-based framework to localize dense single molecules with overlapping point spread functions simultaneously in multiple channels. We showcase DECODE-Plex on experimental ultra-high density dual-color and 3D live-cell data. Packaged for ease of use, it will enable many groups to improve imaging speed and quality of multi-channel SMLM.
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