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Metric characteristics of various methods for numerical density estimation in transmission light microscopy - a computer simulation
Kališnik, Miroslav (Author), Blejec, Andrej (Author), Pajer, Zdenka (Author), Majhenc, Janja (Author)

URLURL - Presentation file, Visit http://www.dlib.si/details/URN:NBN:SI:doc-G28BTM1E This link opens in a new window

Abstract
In the introduction the evolution of methods for numerical density estimation of particles is presented shortly. Three pairs of methods have been analysed and compared: (1) classical methods for particles counting in thin and thick sections, (2) original and modified differential counting methods and (3) physical and optical disector methods. Metric characteristics sush as accuracy, efficiency, robustness, and feasibility of methods have been estimated and compared. Logical, geometrical and mathematical analysis as well as computer simulations have been applied. In computer simulations a model of randomly distributed equal spheres with maximal contrast against sorrundings has been used. According to our computer simulation all methods give accurate results provided that the sample is representative and sufficiently large. However, there are differences in their efficiency, robustness and feasibility. Efficiency and robustness increase with increasing slice thickness in all three pairs of methods. Robustness is superior in both differential and both disector methods compared to both classical methods. Feasibility can be judged according to the additional equipment as well as to the histotechnical and counting procedures necessary for performing individual counting methods. However, it is evident that not all practical problems can efficiently be solved with models.

Language:English
Keywords:accuracy, efficiency, feasibility, light microscopy, numerical density, robustness, vertical resolution
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Year:2001
Publisher:Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta
Number of pages:str. 15-25
Numbering:Vol. 20, no. 1
UDC:621.38
ISSN on article:1580-3139
COBISS.SI-ID:836943 Link is opened in a new window
Views:491
Downloads:557
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Record is a part of a journal

Title:Image analysis & stereology
Shortened title:Image anal. stereol.
Publisher:Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta
ISSN:1580-3139
COBISS.SI-ID:106479104 This link opens in a new window

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