학술논문

A cellular neural network based system for cell counting in culture of biological cells
Document Type
Conference
Source
Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104) Control applications Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on. 1:341-345 vol.1 1998
Subject
Robotics and Control Systems
Components, Circuits, Devices and Systems
Cellular neural networks
Cells (biology)
Intelligent networks
Biological cells
Image processing
Counting circuits
Prototypes
Optical sensors
Electronic mail
Biotechnology
Language
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.