Analysis of the distribution of the brain cells of the fruit fly by an automatic cell counting algorithm

Analysis of the distribution of the brain cells of the fruit fly by an automatic cell counting algorithm
复制标题

DOI:
10.1016/j.physa.2004.11.033
复制
发表时间:
2005-05-01
影响因子:
3.3
通讯作者:
Ito, K
Ito, K
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Shimada, T;Kato, K;Ito, K

文献摘要

被引文献

相似文献

果蝇是最小的有脑模型动物。据说它的大脑只有大约25万个神经元,而除了学习和记忆等高能力外,它还显示出“意识的雏形”。作为详尽分析其脑回路信息的起点,我们开发了一种新的算法,从源二维/三维图形自动计数细胞。在我们的算法中,细胞计数是通过嵌入对象(通常是磁盘/球)来实现的,每个对象都有唯一的体积。使用这种方法,我们已经成功地精确计数了数千个细胞。这种方法为我们提供了分析大脑回路所必需的信息:整个脑细胞的精确分布。(c)2004 Elsevier B. V.保留所有权利。
The fruit fly is the smallest brain-having model animal. Its brain is said to consist only of about 250,000 neurons, whereas it shows "the rudiments of consciousness" in addition to its high abilities such as learning and memory. As the starting point of the exhaustive analysis of its brain-circuit information, we have developed a new algorithm of counting cells automatically from source 2D/3D figures. In our algorithm, counting cells is realized by embedding objects (typically, disks/balls), each of which has exclusive volume. Using this method, we have succeeded in counting thousands of cells accurately. This method provides us the information necessary for the analysis of brain circuits: the precise distribution of the whole brain cells. (c) 2004 Elsevier B.V. All rights reserved.