An empirical assessment of stereological formulae applied to the counting of synaptic disks in the cerebral cortex

Known quantities of test objects approximating the parameters of cortical synapses were embedded in known volumes of a transparent embedding medium. The material was cut in slabs of appropriate thickness. The mean trace length (d) of the profiles of the test objects was measured and the number of pr...

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Veröffentlicht in:Journal of comparative neurology (1911) 1985-01, Vol.231 (2), p.175-179
Hauptverfasser: Colonnier, Marc, Beaulieu, Clermont
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container_title Journal of comparative neurology (1911)
container_volume 231
creator Colonnier, Marc
Beaulieu, Clermont
description Known quantities of test objects approximating the parameters of cortical synapses were embedded in known volumes of a transparent embedding medium. The material was cut in slabs of appropriate thickness. The mean trace length (d) of the profiles of the test objects was measured and the number of profiles per unit area (NA) was calculated. Various stereological formulae were applied to these data to determine the number of test objects per unit volume (NV). For large numbers of those test objects most closely approximating the parameters of cortical synapses, the formula NV = NA/d and the DeHoff and Rhines formula ('61) for polydispersed circular disks NV = 8NAZ/π2 (where Z is the mean of the reciprocals of the trace lengths) gave accurate results (error ≤ 5%). Other popular formulae and procedures were not as accurate and underestimated their number by as much as 32%.
doi_str_mv 10.1002/cne.902310205
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subjects Anatomy
Animals
Biological and medical sciences
Cats
Central nervous system
Cerebral Cortex - anatomy & histology
Fundamental and applied biological sciences. Psychology
Histological Techniques
Mathematics
Models, Neurological
Neuroanatomy - methods
quantitation
stereology
synapse
Synapses
Vertebrates: nervous system and sense organs
title An empirical assessment of stereological formulae applied to the counting of synaptic disks in the cerebral cortex
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