Presentation 2006-06-16
Reconstruction of Section Images in Fluorescence Microscopy Reducing Crosstalk from Unfocused Sections
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The fluorescence microscopy provides an image of focused section of an 3 dimensional object. However, this observed image contains mixed component of other parts of the target 3D object and blured effects from the mixed component degrades the observed image. This blured effect is modeled mathematically as convolution. With this model, light emissions from different planes are weigted by PSF (Point Spread Function) and added to the target section image. To reduce this degradation, deconvolution method has been used to isolate the target section image from the mixed observation but it required unaffordable computation time. Various techniques have been proposed to reduce the computaional cost. The most popular one is the Nearest Neighbor (NN) Method but its image quality has been low. In this paper, we propose a technique that improves the image quality of the NN method by distinguishing out-of-focus effects from front part of the object and those from behind part of the object. The effect of this approach has been evaluated with actual image data and, the conditions and examples that gave improved image quality with reduced conputational cost are shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image Reconstruction / PSF / Fluorescence Microscopy / Deconvolution / 3 Dimensional Image
Paper # DE2006-21,PRMU2006-59
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Conference Information
Committee PRMU
Conference Date 2006/6/9(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconstruction of Section Images in Fluorescence Microscopy Reducing Crosstalk from Unfocused Sections
Sub Title (in English)
Keyword(1) Image Reconstruction
Keyword(2) PSF
Keyword(3) Fluorescence Microscopy
Keyword(4) Deconvolution
Keyword(5) 3 Dimensional Image
1st Author's Name TAKAYASU Itoh
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Itsuo KUMAZAWA
2nd Author's Affiliation Tokyo Institute of Technology
Date 2006-06-16
Paper # DE2006-21,PRMU2006-59
Volume (vol) vol.106
Number (no) 100
Page pp.pp.-
#Pages 6
Date of Issue