Academic Journal

An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images

التفاصيل البيبلوغرافية
العنوان: An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images
المؤلفون: Qiwei Xie, Xi Chen, Hao Deng, Danqian Liu, Yingyu Sun, Xiaojuan Zhou, Yang Yang, Hua Han
المصدر: BioData Mining, Vol 10, Iss 1, Pp 1-23 (2017)
بيانات النشر: BMC, 2017.
سنة النشر: 2017
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Analysis
مصطلحات موضوعية: in vivo two-photon imaging, Synapse, Bouton, Spine, Image enhancement, Computer applications to medicine. Medical informatics, R858-859.7, Analysis, QA299.6-433
الوصف: Abstract Background In the nervous system, the neurons communicate through synapses. The size, morphology, and connectivity of these synapses are significant in determining the functional properties of the neural network. Therefore, they have always been a major focus of neuroscience research. Two-photon laser scanning microscopy allows the visualization of synaptic structures in vivo, leading to many important findings. However, the identification and quantification of structural imaging data currently rely heavily on manual annotation, a method that is both time-consuming and prone to bias. Results We present an automated approach for the identification of synaptic structures in two-photon images. Axon boutons and dendritic spines are structurally distinct. They can be detected automatically using this image processing method. Then, synapses can be identified by integrating information from adjacent axon boutons and dendritic spines. In this study, we first detected the axonal boutons and dendritic spines respectively, and then identified synapses based on these results. Experimental results were validated manually, and the effectiveness of our proposed method was demonstrated. Conclusions This approach will helpful for neuroscientists to automatically analyze and quantify the formation, elimination and destabilization of the axonal boutons, dendritic spines and synapses.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1756-0381
Relation: http://link.springer.com/article/10.1186/s13040-017-0161-5; https://doaj.org/toc/1756-0381
DOI: 10.1186/s13040-017-0161-5
URL الوصول: https://doaj.org/article/6f5ebf075a004776acc9f4996e5ed9c3
رقم الانضمام: edsdoj.6f5ebf075a004776acc9f4996e5ed9c3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17560381
DOI:10.1186/s13040-017-0161-5