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Enabling Spectrally Resolved Single-Molecule Localization Microscopy at High Emitter Densities.


ABSTRACT: Single-molecule localization microscopy (SMLM) is a powerful super-resolution technique for elucidating structure and dynamics in the life- and material sciences. Simultaneously acquiring spectral information (spectrally resolved SMLM, sSMLM) has been hampered by several challenges: an increased complexity of the optical detection pathway, lower accessible emitter densities, and compromised spatio-spectral resolution. Here we present a single-component, low-cost implementation of sSMLM that addresses these challenges. Using a low-dispersion transmission grating positioned close to the image plane, the +1stdiffraction order is minimally elongated and is analyzed using existing single-molecule localization algorithms. The distance between the 0th and 1st order provides accurate information on the spectral properties of individual emitters. This method enables a 5-fold higher emitter density while discriminating between fluorophores whose peak emissions are less than 15 nm apart. Our approach can find widespread use in single-molecule applications that rely on distinguishing spectrally different fluorophores under low photon conditions.

SUBMITTER: Martens KJA 

PROVIDER: S-EPMC9650776 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Enabling Spectrally Resolved Single-Molecule Localization Microscopy at High Emitter Densities.

Martens Koen J A KJA   Gobes Martijn M   Archontakis Emmanouil E   Brillas Roger R RR   Zijlstra Niels N   Albertazzi Lorenzo L   Hohlbein Johannes J  

Nano letters 20221021 21


Single-molecule localization microscopy (SMLM) is a powerful super-resolution technique for elucidating structure and dynamics in the life- and material sciences. Simultaneously acquiring spectral information (spectrally resolved SMLM, sSMLM) has been hampered by several challenges: an increased complexity of the optical detection pathway, lower accessible emitter densities, and compromised spatio-spectral resolution. Here we present a single-component, low-cost implementation of sSMLM that addr  ...[more]

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