An Alternative Method for Cell Counting;
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Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Cell counts and classification of the cells play an important role in the field of microbiology and cell biology. Although there exists many counting processes for cells of interest in suspension, the most basic cell counting process is performed by a person via the microscope. For counting cells the simplest, widely used and the most economic method is the use of hemocytometer counting. In this study, the hemocytometer counting was used but the the cells were counted by a proposed image based approach. The developed technique herein uses neural network along with the Hough transform. © 2011 IEEE.
Description
Keywords
[No Keyword Available], Artificial Neural Network, Signal processing, Support vector machines, Intelligent agents, Pattern recognition techniques, Classification technique, Sensor units, Tri-axial magnetometer, Triaxial accelerometer, Gaussian Mixture Model, Naive Bayesian, Comparative performance assessment, Bayesian networks, Differentiation rate, Pattern recognition, Human activities, Magnetic sensors, Accelerometers, Neural networks
Fields of Science
0301 basic medicine, 02 engineering and technology, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
8
Source
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 -- 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 -- 20 April 2011 through 22 April 2011 -- Antalya -- 85528
Volume
Issue
Start Page
1048
End Page
1051
Collections
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Citations
CrossRef : 1
Scopus : 3
Captures
Mendeley Readers : 14
SCOPUS™ Citations
3
checked on Feb 15, 2026
Page Views
3
checked on Feb 15, 2026
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