Bright chromenylium polymethine dyes enable fast, four-color in vivo imaging with shortwave infrared detection
Autor: | Irene Lim, Bernardo Assein Arús, Thomas S. Bischof, Olivia S Leland, Emily D. Cosco, Ellen M. Sletten, Oliver T. Bruns, Justin R. Caram, Timothy L. Atallah, Anthony L. Spearman |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Indoles
Absorption spectroscopy Infrared Rays Color Bioengineering 010402 general chemistry 01 natural sciences Biochemistry Catalysis Shortwave infrared Mice chemistry.chemical_compound Colloid and Surface Chemistry Optical imaging Animals Julolidine High absorption Fluorescent Dyes Cancer Molecular Structure business.industry Optical Imaging General Chemistry 0104 chemical sciences ddc Wavelength chemistry Chemical Sciences Optoelectronics business Preclinical imaging Excitation |
Zdroj: | J. Am. Chem. Soc. 143, 6836-6846 (2021) Journal of the American Chemical Society, vol 143, iss 18 |
Popis: | Optical imaging within the shortwave infrared (SWIR, 1000-2000 nm) region of the electromagnetic spectrum has enabled high-resolution and high-contrast imaging in mice, non-invasively. Polymethine dyes, with their narrow absorption spectra and high absorption coefficients, are optimal probes for fast and multiplexed SWIR imaging. Here, we expand upon the multiplexing capabilities in SWIR imaging by obtaining brighter polymethine dyes with varied excitation wavelengths spaced throughout the near-infrared (700-1000 nm) region. Building on the flavylium polymethine dye scaffold, we explored derivatives with functional group substitution at the 2-position, deemed chromenylium polymethine dyes. The reported dyes have reduced nonradiative rates and enhanced emissive properties, enabling non-invasive imaging in mice in a single color at 300 fps and in three colors at 100 fps. Combined with polymethine dyes containing a red-shifted julolidine flavylium heterocycle and indocyanine green, distinct channels with well-separated excitation wavelengths provide non-invasive video-rate in vivo imaging in four colors. |
Databáze: | OpenAIRE |
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