Premium
Estimation of individual feature surface area with the vertical spatial grid
Author(s) -
CRUZORIVE L. M.,
HOWARD C. V.
Publication year - 1995
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.1365-2818.1995.tb03590.x
Subject(s) - stack (abstract data type) , grid , isotropy , bounded function , planar , surface (topology) , boundary (topology) , grid cell , feature (linguistics) , geometry , grid pattern , computer science , mathematics , geology , mathematical analysis , optics , physics , computer graphics (images) , linguistics , philosophy , programming language
SUMMARY The area of an individual bounded surface (e.g. the boundary of a properly sampled cell) can be estimated from an isotropic uniform random stack of parallel sections, or of non‐invasive planar scans, using the well‐known spatial grid. A standing problem was to estimate the area of an individual bounded surface with an arbitrary degree of accuracy from a vertical (i.e. not isotropic) stack of sections or scans. A new tool to do this, called the ‘vertical spatial grid’, is presented.