DocumentCode :
2523696
Title :
PROSPECTING FOR LIVE CELL BIOIMAGING PROBES WITH CHEMINFORMATIC ASSISTED IMAGE ARRAY (CAIA)
Author :
Posada, Maria M. ; Shedden, Kerby ; Chang, Young-tae ; Li, Qian ; Rosania, Gus R.
Author_Institution :
Dept. of Pharm. Sci., Michigan Univ., Ann Arbor, MI
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
1108
Lastpage :
1111
Abstract :
Cheminformatic assisted image array (CAIA) is a data mining and visualization tool linking chemical structures to microscope images of cells incubated with prospective bioimaging probes. In a CAIA, machine vision can be used to calculate the quantitative contribution of the chemical features of candidate probes to the apparent image features. In turn, image arrays can be constructed and sorted based on the features of molecules or images, so that the contribution of chemical features on visual features of the images can be readily discerned, across a large data set. By enabling visualization of complex multidimensional relationships between chemical structures and visual signals, CAIA can facilitate the search for new classes of fluorescent probes of cell structure and function.
Keywords :
biomedical optical imaging; cellular biophysics; computer vision; data mining; feature extraction; medical image processing; probes; cheminformatic; cheminformatic assisted image array; data mining; fluorescent probes; image features; live cell bioimaging probes; machine vision; Chemicals; Data visualization; Extracellular; Fluorescence; Image analysis; Machine vision; Microscopy; Pixel; Probes; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.357050
Filename :
4193484
Link To Document :
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