Avtor/Urednik		Kališnik, Miroslav; Blejec, Andrej; Pajer, Zdenka; Majhenc, Janja
Naslov		Metric characteristics of various methods for numerical density estimation in transmission light microscopy - a computer simulation
Tip		članek
Vir		Image Anal Stereol
Vol. in št.		Letnik 20
Leto izdaje		2001
Obseg		str. 15-25
Jezik		eng
Abstrakt		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 such 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 surroundings 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 eguipment 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.
Deskriptorji		MICROSCOPY COMPUTER SIMULATION PARTICLE SIZE BIOMETRY PATTERN RECOGNITION IMAGE PROCESSING, COMPUTER-ASSISTED HISTOLOGICAL TECHNIQUES