Paper Info
Title
PROSPECTING FOR LIVE CELL BIOIMAGING PROBES WITH CHEMINFORMATIC ASSISTED IMAGE ARRAY (CAIA)
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.
Year
DOI
Venue
2007
10.1109/ISBI.2007.357050
Arlington, VA
Keywords
Field
DocType
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
Computer vision,Cellular biophysics,Machine vision,Pattern recognition,Feature (computer vision),Visualization,Computer science,Feature extraction,Microscope,Cell structure,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1945-7928
1-4244-0672-2
2
PageRank 
References 
Authors
0.69
3
5
Name
Order
Citations
PageRank
Maria M. Posada120.69
Kerby Shedden213417.42
Young-Tae Chang321.03
Qian Li420.69
Gustavo R. Rosania5102.58