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The efficient and unbiased estimation of nuclear size variability using the ‘selector’
Author(s) -
McMillan AnnaMarie,
Sørensen Flemming Brandt
Publication year - 1992
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.1992.tb01498.x
Subject(s) - unbiased estimation , estimation , statistics , best linear unbiased prediction , mathematics , computer science , artificial intelligence , engineering , selection (genetic algorithm) , systems engineering , estimator
SUMMARY The selector was used to make an unbiased estimation of nuclear size variability in one benign naevocellular skin tumour and one cutaneous malignant melanoma. The results showed that the estimates obtained using the selector were comparable to those obtained using the more time consuming Cavalieri‐disector approach. Employing ‘optical sections’, the selector was found to be between five and ten times more efficient than the Cavalieri‐disector method when using physical sections.