Multi-channel high-density single-molecule localization

Authors

Sha, H., Muller, L.-R., Castillo Duque de Estrada, N. M., Mathieu, M., Jaques, A., Marin, Z., Zhang, Y., Macke, J. H., Ries, J.

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.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 27 Jul 2026.

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