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Published on: August 22, 2019
Triple-Color STED Nanoscopy: Sampling Absorption Spectra Differences for Efficient Linear Species Unmixing
Mariano Gonzalez Pisfil1,2, Sumeet Rohilla1,3, Marcelle König4
1PicoQuant Innovations GmbH, Rudower Chaussee 29, 12489 Berlin, Germany.
This study introduces a novel multispecies STED nanoscopy method for simultaneous cellular imaging. It effectively separates multiple fluorescent labels with closely spaced absorption spectra, enhancing biological structure visualization.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Stimulated emission depletion (STED) microscopy allows visualization of cellular structures below the optical diffraction limit.
- Simultaneous imaging of multiple species within cells is a growing demand in biological research.
- Existing multispecies STED techniques face challenges in spectral resolution and sample preparation.
Purpose of the Study:
- To develop a novel, beneficial approach for multispecies STED nanoscopy.
- To enable simultaneous investigation of multiple species with closely spaced spectral properties.
- To improve the efficiency and reduce artifacts in multispecies STED imaging.
Main Methods:
- Utilizing three excitation wavelengths in pulsed interleaved excitation (PIE) mode.
- Employing a linear unmixing algorithm based on reference patterns for image decomposition.
- Introducing the image correlation map (ICM) to identify single-species regions for reference pattern generation.
Main Results:
- Successfully probed multiple species with fluorescent labels having absorption maxima as close as 13 nm.
- Demonstrated high-speed species separation quality for up to three species.
- Eliminated the need for cumbersome preparation of additional reference samples.
Conclusions:
- The proposed method offers a powerful approach for multispecies STED nanoscopy.
- Spectral exploitation and advanced algorithms enable high-fidelity separation of closely labeled species.
- This technique advances the capability for simultaneous, high-resolution imaging in cellular biology.
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