scholarly journals Improved axial point spread function in a two-frequency laser scanning confocal fluorescence microscope

2018 ◽  
Vol 23 (01) ◽  
pp. 1
Author(s):  
Jheng-Syong Wu ◽  
Yung-Chin Chung ◽  
Jun-Jei Chien
2001 ◽  
Vol 196 (1-6) ◽  
pp. 109-117 ◽  
Author(s):  
O. Haeberlé ◽  
F. Bicha ◽  
C. Simler ◽  
A. Dieterlen ◽  
C. Xu ◽  
...  

2014 ◽  
Vol 21 (1) ◽  
pp. 172-178 ◽  
Author(s):  
Amanda J. White ◽  
Denton S. Ebel

AbstractLight microscopy is a powerful tool that allows for many types of samples to be examined in a rapid, easy, and nondestructive manner. Subsequent image analysis, however, is compromised by distortion of signal by instrument optics. Deconvolution of images prior to analysis allows for the recovery of lost information by procedures that utilize either a theoretically or experimentally calculated point spread function (PSF). Using a laser scanning confocal microscope (LSCM), we have imaged whole impact tracks of comet particles captured in silica aerogel, a low density, porous SiO2 solid, by the NASA Stardust mission. In order to understand the dynamical interactions between the particles and the aerogel, precise grain location and track volume measurement are required. We report a method for measuring an experimental PSF suitable for three-dimensional deconvolution of imaged particles in aerogel. Using fluorescent beads manufactured into Stardust flight-grade aerogel, we have applied a deconvolution technique standard in the biological sciences to confocal images of whole Stardust tracks. The incorporation of an experimentally measured PSF allows for better quantitative measurements of the size and location of single grains in aerogel and more accurate measurements of track morphology.


2007 ◽  
Vol 46 (10) ◽  
pp. 1819 ◽  
Author(s):  
Bo Zhang ◽  
Josiane Zerubia ◽  
Jean-Christophe Olivo-Marin

1998 ◽  
Vol 4 (S2) ◽  
pp. 880-881
Author(s):  
P.J. Shaw

Many imaging processes, including both conventional wide-field and confocal fluorescence microscopy, can be described to a good approximation as linear and spatially-invariant. Linearity means that the image of an extended specimen is simply the sum of the images of the parts of the specimen - in the limit the specimen can be regarded as a collection of points, and its image is the sum of the images of the points - i.e. weighted instances of the imaging system's point spread function (psf). In the case of spatially invariant imaging the psf is the same over the entire field of imaging. Mathematically, the image is the convolution of the specimen with the system psf. In principle, this convolution can be reversed to remove degradation introduced by the imaging process, a computational procedure often called deconvolution or, more generally, restoration.


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