Abstract:
:A semi-automated analysis system based on video image analysis was developed to count labelled and unlabelled nuclei of Schwann cells which had been exposed to tritiated thymidine followed by processing for autoradiography. A Model 3000 Image Analysis system (Image Technology Corporation, Deer Park, NY) was used to acquire and process the images and provide quantitative measurements based on the distinctive size and shape of the Schwann cell nucleus. The maximum and minimum dimensions for the labelled and unlabelled nuclei were determined. These stored dimensional parameters were then compared with the dimensions of a given field of cell nuclei by the image analysis system. The counts from various fields were collected until a total of 1000 labelled and unlabelled nuclei had been analyzed. A labelling index (LI = ratio of labelled cells to total cells X 100) was then calculated and printed by the system. LIs of autoradiographs determined by automated analysis correlated well with those determined by visual cell counting. The principle of the image analysis program as described here is applicable to other systems for the measurement of LIs of a particular cell type in a mixed population. This automated process eliminates both the subjectivity and fatigue of visual counting and facilitates the rapid measurement of the LI of large numbers of autoradiographs with precision.
journal_name
J Neurosci Methodsjournal_title
Journal of neuroscience methodsauthors
Baichwal RR,Yan L,Bosler A,DeVries GHdoi
10.1016/0165-0270(87)90062-8subject
Has Abstractpub_date
1987-08-01 00:00:00pages
295-305issue
4eissn
0165-0270issn
1872-678Xpii
0165-0270(87)90062-8journal_volume
20pub_type
杂志文章abstract:BACKGROUND:The widespread use of data-driven methods, such as independent component analysis (ICA), for the analysis of functional magnetic resonance imaging data (fMRI) has enabled deeper understanding of neural function. However, most popular ICA algorithms for fMRI analysis make several simplifying assumptions, thus...
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journal_title:Journal of neuroscience methods
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journal_title:Journal of neuroscience methods
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journal_title:Journal of neuroscience methods
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