Metric characteristics of various methods for numerical density estimation in transmission light microscopy - a computer simulation

Kališnik, Miroslav (avtor), Blejec, Andrej (avtor), Pajer, Zdenka (avtor), Majhenc, Janja (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: accuracy, efficiency, feasibility, light microscopy, numerical density, robustness, vertical resolution
• Vrsta gradiva: Delo ni kategorizirano
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: BF - Biotehniška fakulteta
• Založnik: Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta
• Leto izida: 2001
• Št. strani: Str. 15-25
• Številčenje: Vol. 20, no. 1
• PID: 20.500.12556/RUL-63827
• UDK: 621.38
• ISSN pri članku: 1580-3139
• COBISS.SI-ID: 836943
• Datum objave v RUL: 10.07.2015

Gradivo je del revije

• Naslov: Image analysis & stereology
• Skrajšan naslov: Image anal. stereol.
• Založnik: Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta
• ISSN: 1580-3139
• COBISS.SI-ID: 106479104