کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4335835 | 1295182 | 2010 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons](/preview/png/4335835.png)
چکیده انگلیسی
The morphological development of in vitro single cerebellar Purkinje cells obtained from wild type P1 CD1 mice was assessed through a dedicated non-invasive technique based on image processing algorithms and multivariate analysis. Image processing algorithms were implemented to extract metrical features characterizing cell structure and dendritic arborization from sequential optical micrographs. Quantitative morphological features were analyzed in order to identify relevant metrical characteristics common to Purkinje cells in wild type P1 CD1 mice. Cell arborization was found to be characterized by a high fractal dimension and the directionality and level of complexity were shown to be key features for cell morphology classification, as underlined using a three-way PCA analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 185, Issue 2, 15 January 2010, Pages 315-324
Journal: Journal of Neuroscience Methods - Volume 185, Issue 2, 15 January 2010, Pages 315-324
نویسندگان
L. Billeci, G. Pioggia, F. Vaglini, A. Ahluwalia,