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Philos Trans A Math Phys Eng Sci ; 379(2199): 20200300, 2021 Jun 14.
Article in English | MEDLINE | ID: mdl-33896201

ABSTRACT

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)'.


Subject(s)
Microscopy, Fluorescence, Multiphoton/instrumentation , Algorithms , Animals , Convallaria/ultrastructure , Image Processing, Computer-Assisted/methods , Image Processing, Computer-Assisted/statistics & numerical data , Kidney/ultrastructure , Mice , Microscopy, Fluorescence, Multiphoton/methods , Microscopy, Fluorescence, Multiphoton/statistics & numerical data , Optical Devices , Optical Phenomena , Software
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