文章基本信息

标题：Probing spermiogenesis: a digital strategy for mouse acrosome classification
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作者：Alessandro Taloni ; Francesc Font-Clos ; Luca Guidetti 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2017
卷号：7
期号：1
DOI：10.1038/s41598-017-03867-7
语种：English
出版社：Springer Nature
摘要：Classification of morphological features in biological samples is usually performed by a trained eye but the increasing amount of available digital images calls for semi-automatic classification techniques. Here we explore this possibility in the context of acrosome morphological analysis during spermiogenesis. Our method combines feature extraction from three dimensional reconstruction of confocal images with principal component analysis and machine learning. The method could be particularly useful in cases where the amount of data does not allow for a direct inspection by trained eye.