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Correlation and Analysis of Overlapping Leukocytes in Blood Cell Images Using Intracellular Markers and Colocalization Operation
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Author(s): Balanagireddy G. (Rajiv Gandhi University of Knowledge Technologies, India & Dr. A. P. J. Abdul Kalam Technical University, Ongole, India), Ananthajothi K. (Misrimal Navajee Munoth Jain Engineering College, India), Ganesh Babu T. R. (Muthayammal Engineering College, India)and Sudha V. (Sona College of Technology, India)
Copyright: 2021
Pages: 18
Source title:
AI Innovation in Medical Imaging Diagnostics
Source Author(s)/Editor(s): Kalaivani Anbarasan (Department of Computer Science and Engineering, Saveetha School of Engineering, India & Saveetha Institute of Medical and Technical Sciences, Chennai, India)
DOI: 10.4018/978-1-7998-3092-4.ch008
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Abstract
This chapter contributes to the study of uncertainty of signal dimensions within a microscopic image of blood sample. Appropriate colocalization indicator classifies the leukocytes in the region of interest having ragged boundaries. Signal transduction has been interpreted using correlation function determined fluorescence intensity in proposed work using just another colocalization plugin (JaCoP). Dependence between the channels in the colocalization region is being analysed in a linear fashion using Pearson correlation coefficient. Manders split, which gives intensity, is represented in a channel by co-localizing pixels. Overlap coefficients are also being analysed to analyse coefficient of each channel. Li's intensity correlation coefficient is being used in specific cases to interpret the impact of staining.
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