Comparison of intensity based similarity measures for matching genomic structures in microscopic images of living cells.
This paper presents our comparative study of the application of intensity based similarity measures to the problem of matching genomic structures in microscopic images of living cells. As part of our ongoing research, we present here for the first time evidence from experiments and simulations that show the benefit of using an iterative matching algorithm guided by an intensity based similarity measure. Our experimental results are compared against a gold standard and suggest the measures that work best in the presence of fluorescent decay and other problems inherent to time-lapse microscopy. This makes our approach widely applicable in the study of the dynamics of living cells with time-lapse microscopic imaging.
Bhattacharya
Sambit
S
Dept. of Math. & Comput. Sci., Fayetteville State Univ., NC 28311, USA. sbhattac@uncfsu.edu
Acharya
Raj
R
Pliss
Artem
A
Malyavantham
Kishore S
KS
Berezney
Ronald
R
D000465:Algorithms; D001698:Biomedical Engineering; D022082:Cellular Structures / Q000378:metabolism* / Q000648:ultrastructure*; D023281:Genomics; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D007257:Information Theory; D008856:Microscopy, Fluorescence