Title :
A cellular neural network based system for cell counting in culture of biological cells
Author :
Nunnari, Giuseppe ; Sacco, A.
Abstract :
Cell counting methods are important tools in molecular biology as well as clinical medicine. It is not always technically possible to measure quantitatively the events of cellular growth and fission. When it can be done, the procedures are neither so simple nor without excessive tedium as to lend themselves practically to the necessary replication of observations with large number of individual cells. We describe a CNN based system that uses a CNN simulator for counting cells. The performances of the proposed system are illustrated by a simple cell counting experiment using a Petroff-Hauser based counter system
Keywords :
biology computing; cellular neural nets; fission counters; image processing; molecular biophysics; Petroff-Hauser based counter system; biological cells; cell counting; cellular neural network based system; clinical medicine; molecular biology; Biological cells; Biotechnology; Cells (biology); Cellular neural networks; Counting circuits; Electronic mail; Image processing; Intelligent networks; Optical sensors; Prototypes;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.728441