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SPECTRE-Plex: an automated, fast, high-resolution-enabled approach for multiplexed cyclic imaging and tissue spatial analysis

Anderson, M. D.; Plone, A.; La, J.; Wong, M.; Raghunathan, K.; Silvester, J. A.; Thiagarajah, J. R.

2025-02-05 bioengineering
10.1101/2025.01.30.635753 bioRxiv
Show abstract

Mapping the spatial organization of tissues is critical to understanding organ biology in health and disease. Developments in multiplexed antibody-based, fluorescence labelling methods have provided unique insights into tissue microenvironments. However, many current methods have a variety of limitations that reduce their practical utilization. To address this, we developed SPECTRE-Plex; an end-to-end solution based on a series of methods that significantly improve speed, automation, and resolution of cyclic multiplex immunofluorescence imaging.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.