Stereology, morphometry, and mapping: the whole is greater than the sum of its parts

被引:72
作者
Glaser, JR [1 ]
Glaser, EM [1 ]
机构
[1] MicroBrightField Inc, Colchester, VT 05446 USA
关键词
brain mapping; computer microscopy; unbiased stereology; neurostereology;
D O I
10.1016/S0891-0618(00)00073-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The latest developments in computer-based stereology build upon the similarities of classical stereology and computer microscopy to provide refined and effective spatial analyses that also permit mapping of anatomical regions. Classical stereology and computer microscopy have developed along independent pathways as methodologies to provide a quantitative understanding of the structure of the brain. They approach brain morphology and brain morphometry from different points of view. On one hand, stereology has concentrated upon the unbiased numerical estimation of parameters, such as length, area, volume, and population size that characterize entire regions of the brain, e.g. hippocampus, as well as individual elements within them, e.g. cell volume. On the other hand. computer microscopy has concentrated upon providing accurate three-dimensional maps of the morphology of entire regions of the brain as well as of individual elements within them, e.g. neuronal dendrite and axon systems. The differences in point of view are not so extensive as to keep the two methodologies separate. They share, after all, a similar manner of controlling microscope data input and analyzing the images the microscope provides. The incorporation of data archiving permits easier access to previous studies, as well as the sharing of stereological findings and their related maps throughout the scientific community. Some of the stereological systems now integrate spatial mapping with stereological analyses to provide more comprehensive methods to analyze brain tissue. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:115 / 126
页数:12
相关论文
共 31 条
[1]  
[Anonymous], 1998, UNBIASED STEREOLOGY
[2]  
CALHOUN ME, 2000, J CHEM NEUROANAT, P20
[3]   Precision of Cavalieri sections and slices with local errors [J].
Cruz-Orive, LM .
JOURNAL OF MICROSCOPY-OXFORD, 1999, 193 :182-198
[4]  
Cruz-Orive LM., 1993, B INT STAT I, V55, P451
[5]   EVALUATION OF NEURONAL NUMERICAL DENSITY BY DIRICHLET TESSELLATION [J].
DUYCKAERTS, C ;
GODEFROY, G ;
HAUW, JJ .
JOURNAL OF NEUROSCIENCE METHODS, 1994, 51 (01) :47-69
[6]  
DUYCKAERTS C, 2000, IN PRESS J CHEM NEUR
[7]   The coefficient of error of optical fractionator population size estimates: a computer simulation comparing three estimators [J].
Glaser, EM ;
Wilson, PD .
JOURNAL OF MICROSCOPY, 1998, 192 :163-171
[8]   THE IMAGE-COMBINING COMPUTER MICROSCOPE - AN INTERACTIVE INSTRUMENT FOR MORPHOMETRY OF THE NERVOUS-SYSTEM [J].
GLASER, EM ;
TAGAMETS, M ;
MCMULLEN, NT ;
VANDERLOOS, H .
JOURNAL OF NEUROSCIENCE METHODS, 1983, 8 (01) :17-32
[9]   SEMI-AUTOMATIC COMPUTER-MICROSCOPE FOR ANALYSIS OF NEURONAL MORPHOLOGY [J].
GLASER, EM ;
VANDERLOOS, H .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1965, BM12 (01) :22-+
[10]   THE FAN-IN PROJECTION METHOD FOR ANALYZING DENDRITE AND AXON SYSTEMS [J].
GLASER, EM ;
MCMULLEN, NT .
JOURNAL OF NEUROSCIENCE METHODS, 1984, 12 (01) :37-42