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دانشگاه آزاد اسلامی اصفهان(خوراسگان)
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"
REAL-TIME CELL IMAGE ANALYSIS
"
Document Type
:
Latin Dissertation
Language of Document
:
English
Record Number
:
151993
Doc. No
:
ET23785
Main Entry
:
Anoop M. Mayampurath
Title Proper
:
REAL-TIME CELL IMAGE ANALYSIS
Note
:
This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract
:
Biological studies of intercellular communication are more effective if observations aremade in the same domain as the cells themselves, i.e. in three dimensions. The confo-cal microscope, along with techniques such as fluorescence resonance energy transfer andblob analyis, aid in this aspect. An approach to automated real-time analysis of biologicalcell images using a confocal microscope is proposed with a paradigm of hardware-basedarchitecture. For real-time applications, field programmable gate arrays, along with highlevel programming languages such as Handel-C, make a good alternative to expensiveapplication-specific hardware and powerful workstations. Basic segmentation techniques,such as thresholding, were modified to fit the hardware constraints. Prior to cell segmen-tation, the multiband images are corrected for nonlinear tilt distortion and warp-induceddistortions, following which they are registered so as to facilitate proper analysis. Blob.............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject
:
Electericl tess
:
برق
electronic file name
:
TL47045.pdf
Title and statement of responsibility and
:
REAL-TIME CELL IMAGE ANALYSIS [Thesis]
http://localhost/site/catalogue/151993
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TL47045.pdf
TL47045.pdf
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