Paper
13 February 2012 Structured illumination confocal scanning microscope with enhanced optical resolution and acquisition speed
Author Affiliations +
Abstract
There was a previous research that proposed the structured illumination confocal scanning microscope (SICSM) so as to improve the lateral resolution of the confocal microscope. However, the image acquisition speed of the SICSM was very slow and also an alignment error due to the mechanical rotation of a grating and a slit can easily occur. As a theoretical study, in this paper we propose a new SI method, the cross SI method, which improves lateral resolution and image acquisition speed. Performances of the conventional SI and the proposed SI methods are compared by analysis of the modulation transfer function. The proposed SI method shows similar lateral resolution and can shorten the image acquisition time compared to the conventional SI method. The cross structured illumination confocal microscope (CSICM) is combined with the cross SI pattern optics and the line scanning confocal microscope. We have introduced a 2-D diffractive grating in order to create the cross SI pattern. The effects of the cross SI pattern, intensity and visibility, on the system performance are analyzed. The CSICM has double the lateral resolution of the conventional microscope, an optical sectioning ability and a fast image acquisition speed.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Young-Duk Kim, MyoungKi Ahn, and Dae-Gab Gweon "Structured illumination confocal scanning microscope with enhanced optical resolution and acquisition speed", Proc. SPIE 8228, Single Molecule Spectroscopy and Superresolution Imaging V, 822812 (13 February 2012); https://doi.org/10.1117/12.907188
Lens.org Logo
CITATIONS
Cited by 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Microscopes

Confocal microscopy

Image resolution

Image acquisition

Image processing

Optical transfer functions

Resolution enhancement technologies

Back to Top