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Abstract

Bacteriophytochromes (BphPs) find increasing interest as near-infrared (NIR) labels for imaging. Applications range from whole animal imaging to cell-to super-resolution microscopy. Here we present a comprehensive study of a BphP from Rhizobium etli (ReBphP) allowing mutant-based insights into BphP photophysics. This is complemented by QM/MM-optimized deep-learning structure predictions of ReBphP and variants in their photoswitched states, rationalizing the effects of variants. Pertaining to imaging, based on our study we identify a bright and far red-shifted BphP for imaging in mammalian cells as well as a fluorescent photoswitching BphP. Utilizing the latter, we introduce photoswitching fluorescence background suppression for in vivo whole animal fluorescence imaging achieving higher contrast over background than possible utilizing non-switching labels.

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