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Super-resolution fluorescence microscopy by line-scanning with an unmodified two-photon microscope
Author(s) -
Christian Pilger,
Jakub Pospíšil,
Marcel Müller,
Martin Ruoff,
Martin Schütte,
Heinrich Spiecker,
Thomas Huser
Publication year - 2021
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2020.0300
Subject(s) - optics , microscope , microscopy , resolution (logic) , two photon excitation microscopy , light sheet fluorescence microscopy , optical sectioning , materials science , laser , image resolution , fluorescence microscope , laser scanning , computer science , fluorescence , physics , scanning confocal electron microscopy , artificial intelligence
Fluorescence-based microscopy as one of the standard tools in biomedical research benefits more and more from super-resolution methods, which offer enhanced spatial resolution allowing insights into new biological processes. A typical drawback of using these methods is the need for new, complex optical set-ups. This becomes even more significant when using two-photon fluorescence excitation, which offers deep tissue imaging and excellent z-sectioning. We show that the generation of striped-illumination patterns in two-photon laser scanning microscopy can readily be exploited for achieving optical super-resolution and contrast enhancement using open-source image reconstruction software. The special appeal of this approach is that even in the case of a commercial two-photon laser scanning microscope no optomechanical modifications are required to achieve this modality. Modifying the scanning software with a custom-written macro to address the scanning mirrors in combination with rapid intensity switching by an electro-optic modulator is sufficient to accomplish the acquisition of two-photon striped-illumination patterns on an sCMOS camera. We demonstrate and analyse the resulting resolution improvement by applying different recently published image resolution evaluation procedures to the reconstructed filtered widefield and super-resolved images. This article is part of the Theo Murphy meeting issue ‘Super-resolution structured illumination microscopy (part 1)'.

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