دورية أكاديمية
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images
| العنوان: | A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images |
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| المؤلفون: | Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han |
| المصدر: | BioData Mining, Vol 11, Iss 1, Pp 1-15 (2018) |
| بيانات النشر: | BMC, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Analysis |
| مصطلحات موضوعية: | 3D connection, EM images, Bwconncomp, Mitochondria, Synapse, Computer applications to medicine. Medical informatics, R858-859.7, Analysis, QA299.6-433 |
| الوصف: | Abstract Background It is becoming increasingly clear that the quantification of mitochondria and synapses is of great significance to understand the function of biological nervous systems. Electron microscopy (EM), with the necessary resolution in three directions, is the only available imaging method to look closely into these issues. Therefore, estimating the number of mitochondria and synapses from the serial EM images is coming into prominence. Since previous studies have achieved preferable 2D segmentation performance, it holds great promise to obtain the 3D connection relationship from the 2D segmentation results. Results In this paper, we improve upon Matlab’s function bwconncomp and propose a fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. To benchmark the performance of the proposed method, two EM datasets with the annotated ground truth are produced for mitochondria and synapses, respectively. Experimental results show that the proposed method can achieve the preferable connection performance that closely matches the ground truth. Moreover, it greatly reduces the computational burden and alleviates the memory requirements compared with the function bwconncomp. Conclusions The proposed method can be deemed as an effective strategy to obtain the 3D connection relationship from serial mitochondria and synapse segmentations. It is helpful to accurately and quickly quantify the statistics of the numbers, volumes, surface areas, and lengths, which will greatly facilitate the data analysis of neurobiology research. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1756-0381 |
| Relation: | http://link.springer.com/article/10.1186/s13040-018-0183-7; https://doaj.org/toc/1756-0381 |
| DOI: | 10.1186/s13040-018-0183-7 |
| URL الوصول: | https://doaj.org/article/b684d8e19d9f40a49bb013fa39fef422 |
| رقم الأكسشن: | edsdoj.b684d8e19d9f40a49bb013fa39fef422 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 17560381 |
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| DOI: | 10.1186/s13040-018-0183-7 |