Premium
Estimation of the number of stellate cells in a liver with the smooth fractionator
Author(s) -
MARCOS R.,
MONTEIRO R. A. F.,
ROCHA E.
Publication year - 2004
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.0022-2720.2004.01366.x
Subject(s) - hepatic stellate cell , variance (accounting) , sampling (signal processing) , statistics , analysis of variance , sample size determination , a priori and a posteriori , pathological , variance reduction , pathology , biology , mathematics , medicine , computer science , philosophy , accounting , filter (signal processing) , epistemology , business , computer vision , monte carlo method
Summary To better evaluate the activation and proliferative response of hepatic stellate cells (HSC) in hepatic fibrosis, it is essential to have sound quantitative data in non‐pathological conditions. Our aim was to obtain the first precise and unbiased estimate of the total number of HSC in the adult rat, by combining the optical fractionator, in a smooth sampling design, with immunocytochemistry against glial fibrillary acidic protein. Moreover, we wanted to verify whether there was sufficiently relevant specimen inhomogeneity that could jeopardize the high expected estimate precision when using the smooth fractionator design for HSC. Finally, we wanted to address the question of what sampling scheme would be advisable a priori for future studies. Microscopical observations and quantitative data provided no evidence for inhomogeneity of tissue distribution of HSC. Under this scenario, we implemented a baseline sampling strategy estimating the number ( N̂ ) of HSC as 207E 06 (CV = 0.17). The coefficient of error [CE( N̂ )] was 0.04, as calculated by two formerly proposed approaches. The biological difference among animals contributed ≅ 95% to the observed variability, whereas methodological variance comprised the remaining 5%. We then carried out a half reduction of sampling effort, at the level of both sections and fields. In either occasion, the CE( N̂ ) values were low (≅ 0.05) and the biological variance continued to be far more important than methodological variance. We concluded that our baseline sampling (counting 650–1000 cells/rat) would be appropriate to assess the lobular distribution and the N̂ of HSC. However, if the latter is the only parameter to be estimated, around half of our baseline sampling (counting 250–600 cells/rat) would still generate precise estimates [CE( N̂ ) < 0.1], being in this case more efficient to reduce the number of sections than to reduce the sampled fields.