Research progress in data processing methods of neuronal soma calcium imaging
10.7644/j.issn.1674-9960.2024.01.012
- VernacularTitle:神经元胞体钙成像数据处理方法研究进展
- Author:
Wenlong XIA
1
;
Zhe ZHAO
;
Ming FAN
;
Haitao WU
Author Information
1. 兰州大学信息科学与工程学院,兰州 730000
- Keywords:
calcium imaging;
cell recognition;
calcium trajectory extraction;
data analysis
- From:
Military Medical Sciences
2024;48(1):68-74
- CountryChina
- Language:Chinese
-
Abstract:
The recording and analysis of activities of calcium signals in neurons is of critical importance in the field of neuroscience.Over the past three decades,various fluorescent calcium imaging techniques not only have been used in the imaging study of functional activities of neuronal communities,but also can be combined with specific markers to record the functional activities of specific types of neuronal communities.To analyze neural activities at the cellular level,a series of preprocessing such as motion correction,cell body recognition,calcium signal extraction and peak deconvolution is required for the collected video.However,current methods for manual preprocessing are time-consuming and laborious,so computer automatic analysis technology is urgently needed to quickly repair the jitter in the video,identify the position and outline of a single cell,extract its activity trajectory and infer the action potential peak.In this paper,the methods of calcium imaging data processing used in recent years are summarized,and the future developments are predicted.
